Initial and maintenance margins in futures contracts

Initial and maintenance margins in futures contracts

Akshit Gupta

This article written by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains the mechanisms of initial and maintenance margin used in futures contracts.

Introduction

In financial markets, margin requirements are present in leveraged positions in derivative products. They refer to a percentage of assets that an investor must pay for with his or her own cash or assets (collateral) as a means of protection against the risk exposure to its potential default for the other counterpart.

Margin requirements serve as a guarantee that the investor providing the margins will fulfil its trade obligations. Many exchanges across the world provide leverage facilities to investors for trading in different derivative assets. For example, an investor can use leverage facilities for trading in futures contracts across different asset classes like equities, bonds, currencies, interest rates, etc.

Margin requirements can be categorized as initial and maintenance margin requirements.

Initial margin

Initial margin (or IM) refers to the initial deposit required when an investor opens a position in a derivative product and amounts to a percentage of the nominal contract value. The amount for initial margin requirement is calculated in accordance with approved margin models that are based on the market’s regulatory rules. The determination of the initial margin requirement is essentially based on the volatility of the underlying asset of the derivative product being covered. The more volatile the underlying asset, the higher the initial margin requirement.

You can download below the file to learn about the different Euronext Clearing margin requirements used in derivatives trading.

Maintenance margin

When an investor holds an underlying asset on margin, she is required to maintain a minimum margin amount of that asset position in her portfolio to keep her position open and this is known as the maintenance margin. Maintenance margin requirements aim to protect against excess losses and ensures the broker has enough capital to cover any losses the investor may incur. Maintenance margin is generally calculated on a daily mark-to-market basis between the period starting from the trading date to the contract expiration date.

In case the investor is unable to fulfil the maintenance margin requirements, she receives a margin call initiated from the broker to deposit further amount in order to keep her position open. If she fails to provide adequate maintenance margins, the broker has the power to close her positions.

Mechanism of initial and maintenance margins

Now, we will see how initial and maintenance margins work in the financial markets using S&P 500 mini futures contract. Since the investor has bought the futures contract, he/she is required by its broker to post an initial margin at the time the trade is initiated. For instance, this initial margin is set to 40% of the nominal value of the contract. This money is essentially the collateral on the purchase to protect the seller of the contract in the future against the default of the buyer (the investor).

Followed by this, a maintenance margin is required at any point of time after the trade is initiated. The maintenance margin call is triggered when the value of the initial margin falls below the 30% threshold (i.e. 70% of the initial margin). The buyer has to ensure that any time the position falls below this maintenance margin requirements, he will get a margin call and has to increase funds into the margin account.

Example with initial margin

Here is an example of a typical case of buying a futures contract and its margin mechanism:

The characteristics of the contract and market data include:

 Margin call on futures

 Margin call on long futures

The final value of the investor’s brokerage account is equal to $253,000. At the end of the contract, the investor can get back its initial margin of $158,000 leaving $95,000 on its account. The gain is equal to $10,000 which is the amount left on the account ($95,000) minus the sum of the margin calls ($85,000).

Here is an example of a typical case of selling a futures contract and its margin mechanism using the same characteristics and market data:

 Margin call on short futures

The final value of the investor’s brokerage account is equal to $178,000. At the end of the contract, the investor can get back its initial margin of $158,000 leaving $20,000 on its account. The loss is equal to $10,000 which is the amount left on the account ($20,000) minus the sum of the margin calls ($30,000).

You can download below the Excel file for the computation of the Intial and Maintenance Margins for the futures contracts.

Download the Excel file to compute the initial margins for futures

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Useful resources

Maintenance margin

Initial Margin

Financial Industry Regulatory Authority (FINRA)

Prof. Longin’s website Margin Call mechanism for a futures contract (in French).

About the author

Article written in August 2022 by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

My experience as a credit analyst at Amundi Asset Management

My experience as a credit analyst at Amundi Asset Management

Jayati WALIA

In this article, Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) shares her apprenticeship experience as an assistant credit analyst in Amundi which is a leading European asset management firm.

About Amundi

Amundi is a French asset management firm with currently over €2 trillion asset under management (AUM). It ranks among the top 15 asset managers in the world (see Table 1 below). Amundi is a public company quoted on Euronext with the highest market capitalization in Europe among asset management firms (€10.92 billion as of May 20, 2022). Amundi was founded in 2010 following a merger between Crédit Agricole Asset management and Société Générale Asset management.

Table 1. Rank of asset management firms by asset under management (AUM).
Top asset management firms rankings Source: www.advratings.com

Amundi has over 100 million clients (retail, institutional and corporate) and it offers a range of savings and investment solutions, services, advice, and technology in active and passive management, in both traditional and real assets.

Amundi logo Source: Amundi

My apprenticeship

My team at Amundi, Fixed Income Solutions, works in coordination with all the teams of the firm’s global bond management platform. The team’s work revolves majorly around product development on Amundi’s Fixed Income offerings including technological work, generating new investment ideas, and bringing them to clients both institutional and distributors. My position in the team is Assistant Credit Analyst.

Missions

My work primarily involves setting up tools and procedures linked to various investment solutions and portfolios handled by team. The tools are developed through algorithms in programming languages (mainly Python) and their functionalities range from analysis of market signals for investment, pricing of securities, risk monitoring and reporting. I worked on fixed-income portfolio construction and optimization algorithms implementing modern portfolio theory.

My daily responsibilities include report production related to daily fund activity such as monitoring fund balance and calculation of regulatory financial ratios to check for alignment against specific risk constraints. Additionally, I also participate in market research for new investment ideas through analysis of various fixed-income securities and derivatives.

Required skills and knowledge

The work and missions involved in my role require technical knowledge especially programming skills in Python, quantitative modelling and an understanding of financial markets, products and concepts of valuation, various types of risks and financial data analysis. Other behavioral skills such as project management, autonomy and interpersonal communication are also essential.

Three key financial concepts

The following are three key concepts that are used regularly in my work at Amundi:

Credit ratings

Credit ratings are extensively used in fixed income. They reflect the creditworthiness of a borrower entity such as a company or a government, which has issued financial debt instruments like loans and bonds.

Credit risk assessment for companies and governments is generally performed by rating agencies (such as S&P, Moody’s and Fitch) which analyze the internal and external, qualitative and quantitative attributes that drive the economic future of the entity.
Bonds can be grouped into the following categories based on their credit rating:

  • Investment grade bonds: These bonds are rated Baa3 (by Moody’s) or BBB- (by S&P and Fitch) or higher and have a low rate of default.
  • Speculative grade bonds: These bonds are rated Ba1 (by Moody’s) or BB+ (by S&P and Fitch) or lower and have a higher rate of default. They are thus riskier than investment grade bonds and issued at a higher yield. Speculative grade bonds are also referred to “high yield” and “junk bonds”.

Often, some bonds are designated “NR” (“not rated”) or “WR” (“withdrawn rating”) if no rating is available for them due to various reasons, such as lack of credible information.

Credit spreads

Credit spread essentially refers to the difference between the yields of a debt instrument (such as corporate bonds) and a benchmark (government or sovereign bond) with similar maturities but contrasting credit ratings. It is measured in basis points and is indictive of the premium of a risky investment over a risk-free one.

Credit spreads can tighten or widen over time depending on economic and market conditions. For instance, times of financial stress cause an increase in credit risk which leads to spread widening. Similarly, when markets rally, and credit risk is low, spreads tighten. Thus, credit spreads are an indicator of current macro-economic and market conditions.

Credit spreads are used by market participants for investment analysis and bond valuations.

Duration and convexity

Bond prices and interest rates share an inverse relationship, i.e., if interest rates go up, bond prices move down and similarly if interest rates go down, bond prices move up. Duration measures this price sensitivity of bonds with respect to interest rates and helps analyze interest-rate risk for bonds. Bonds with higher duration are more sensitive to interest rate changes and hence more volatile. Duration for a zero-coupon bond is equal to its time to maturity.

While duration is linear measure of bond price-interest rates relationship, in real life, the curve of bond prices against interest rates is convex i.e., the duration of the bonds also changes with change in interest-rates. Convexity measures this duration sensitivity of bonds with respect to interest rates.

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   ▶ Jayati WALIA Credit risk

   ▶ Jayati WALIA Fixed-income products

Useful resources

Amundi

About the author

The article was written in August 2022 by Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

The impact of the Russian invasion of Ukraine on Shell

The impact of the Russian invasion of Ukraine on Shell

 Talia HAMMOUD

In this article, Talia HAMMOUD (The George Washington University, BBA, 2019-2023) discusses the impact of the Russian invasion on Shell, a large multinational oil company.

What is Shell?

Shell PLC is a British publicly traded multinational oil and gas company headquartered at in London, United Kingdom. It is one of the largest energy and petrochemical companies in the world, supplying all over the world.

What happened?

The relationship between Ukraine and Russia was tense since Ukraine gained its independence from the USSR in 1991. Since then, Russia annexed Crimea claiming it belonged to them as well as massing soldiers on the Ukraine-Russia border in 2021. On the 24th of February 2022, Russia invaded Ukraine, starting a full-blown war in Eastern Europe. In an effort to condemn Russia, many multinational companies announced they would withdraw or completely halt operations in the country.

Shell announced plans to withdraw from Russian oil just as people close to the matter say a plan is in the works by the Biden administration to ban Russian oil imports into the U.S. Due to this withdrawal, Shell announced that it anticipates account charges from $4 billion to $5 billion in its first quarter of 2022. This move caused American depositary shares of Shell to rise by 2.7% Tuesday, 8th March.

Stock market reaction

When it was first revealed that Shell was still buying discounted Russian oil after other oil companies announced their withdrawal on March 4th, Shell’s market shares plummeted by 5.73%. This shows that the market is efficient and was informed of Shell’s decision as many condemned them for still supporting Russia. There was increased market pressure for Shell to cut ties with all Russian oil suppliers. On March 8th, Shell apologized and announce its withdrawal from Russia as well as stopping all oil purchases from there. Thus, the market increased by 1.05% on March 8th.

Evolution of Shell stock market share price
hell stock market share price
Source: CNBC

Why this is important?

Firstly, it shows how volatile the oil market is as short-term demand for energy responds much faster to changes in growth than to price changes, especially due to the current Russian invasion of Ukraine, and how an act of war can impact millions around the world due to price increases of oil. This inherently impacts a big oil company such as Shell. However, I think that the market stocks rose in support of Shell withdrawing from Russian contracts and territories even though it is very costly as shown by the almost $5 billion in accounting costs for the first quarter. I think that this is an efficient market as stocks began to rise right before the announcement of this withdrawal was revealed showing that people were expecting Shell and other big oil companies to withdraw from Russia due to immense public pressure to condemn the Russian invasion of Ukraine.

Market efficiency

The market is quite efficient as the stock chart reflects all relevant information about Shell and its actions. For example, the announcement of Shells withdrawal in Russia is reflected in the market price of the day it was announced.

Key concepts

American depositary shares (ADS)

American depositary shares (ADS) are shares in foreign companies that are held in American depositary banks and can be traded in the U.S and on major exchanges. Shell Plc has an ADS facility managed by JPMorgan Chase Bank. Each American depositary share is equal to two Shell ordinary shares.

Market efficiency

Market efficiency refers to the degree how which many market prices reflect all relevant information available. If a market is efficient, it means all traders are well-informed and all the information available is reflected in the price of shares.

Volatility

Volatility represents the rate at which the price of a stock increases or decreases over a particular period. Higher stock price volatility often means higher risk and helps an investor to estimate the fluctuations that may happen in the future.

Useful resources

CNBC Shell PLC share price

Wall Street Journal Shell, BP to Withdraw From Russian Oil, Gas

Shell (March 8th, 2022) Shell announces intent to withdraw from Russian oil and gas

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About the author

The article was written in August 2022 by Talia HAMMOUD (The George Washington University, BBA, 2019-2023).

My internship experience at Little Friends for Peace

My internship experience at Little Friends for Peace

 Talia HAMMOUD

In this article, Talia HAMMOUD (The George Washington University, BBA, 2019-2023) shares her experience as an intern at a non-governmental organization Little Friends for Peace.

Little Friends for Peace

Little Friends for Peace (LFFP) is a small-medium-sized non-profit organization, based in Washington, D.C., that welcomes youth and adults to experience, learn and practice peace through various peace education programs. Started by MJ and Jerry Park in 1981, LFFP believes that all people can create homes, classrooms, teams, and workplaces where everyone gives, everyone gains, and everyone wins. Named for the “little” part we can all play in spreading peace, LFFP seeks to eradicate violence by teaching skills for peace. Some ways they can do this are by hosting ‘peace circles’, summer camps for children, and weekly visits to the McKenna Center, an organization that helps incarcerated men get back on their feet. Furthermore, they have international programming to certain parts of the world such as China, the Middle East, and Latin America.

Logo of Little Friends for Peace
Little Friends for Peace
Source: Little Friends for Peace

My Internship Experience

Since my internship experience took place during the unprecedented pandemic, it was not quite the same as other people’s internship experiences. Firstly, we met weekly on zoom as a team for updates, to-dos, and any exciting news about the NGO. Then we had the option to choose what tasks we wanted to be a part of or lead. For example, I chose to lead the Halloween fundraising event as well as lead in-person peace circles for children between the ages of 6-10 every Monday.

Knowledge and skills needed

Some of the skills required for the internship include organization, fundraising skills, and communication via e-mails, meetings, and social media. I had to organize a fundraising event and create an itinerary for the night. I also had to create advertising and marketing materials to spread awareness and attract attention to the event. This proved difficult as it required the use of a lot of social media outlets to stimulate interest.

What I learned

Operating a non-profit organization is very difficult in terms of financing it. Since a lot of the services they provide are pro bono (meaning for free), the non-profit must find other sources of income to keep the program running. Thus, LFFP must make use of donations, host fundraising events, request grants, and other methods of public funding. Despite this, Little Friends for Peace can maintain operating the business successfully.

Financial Concepts

Interdependence: Non-profits are very dependent on governments and donors which requires them to well connect all parts of operations such as planning, programs, evaluations, etc., to ensure that they receive the right amount of funding and to please potential donors.

Another thing to note is that non-profits must have a substantial amount of cash in operating reserves in case of any downturn or opportunities. For example, due to the pandemic, the government had significant delays in handing out grants and donations to NGOs, thus many organizations had to turn to their reserves to keep business operating.

Why should I be interested in this post?

I think it is very important for all students studying business to experience or learn about all different types of businesses, especially non-profit organizations. I feel that the business behind NGOs and the difficulties of running one is not discussed enough. Therefore, I encourage all business students to consider learning more about the behind-the-scenes of a non-profit organization.

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Useful resources

Little Friends for Peace

Non-Profit Finance: 12 Golden Rules

About the author

The article was written in August 2022 by Talia Hammoud (The George Washington University, BBA, 2019-2023).

Muhammad Yunus

Muhammad Yunus

Louise Pizon

In this article, Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022) presents the portrait of Muhammad Yunus a well-known economist.

Muhammad Yunus or the “banker to the poor” was born in June 1940 in Bangladeshi in the city of Chittagong. He is a social entrepreneur, banker, economist and civil society leader. In 1976, he founded Grameen Bank, a micro finance organization and a community development bank. Microcredit is a delivery system to provide banking services to the rural poor. He is a pioneer of micro funding and microfinance concepts. In 2006, Muhammad Yunus was awarded Nobel Peace prize for these concepts.

Muhammad Yunus
Portrait Yunus
Source: Wikipédia

After his studies in United States, he came back to Bangladesh and worked for three months for the government’s Planning Commission. He quitted to join Chittagong University as head of the Economics department. He started to be involved in poverty reduction in 1974 when famine has struck Bangladesh.

Grameen bank (“village bank”)

It is in 1976, while visiting a poor village of Jobra next to Chittagong University that Muhammad Yunus has the idea of micro funding. He offered the opportunity to women to take a very small loan to create their business. He explains that at the beginning it was complicated to convince women to take loans because they were afraid of not being able to repay the loan. Also, he faced cultural problem; indeed, male didn’t agree to let women manage money.

Grameen Bank consists in constituting groups of solidarity within the villages of people who know each other. The risk of non-refunding is very low because the shame of mismanaging the loan money, naturally prevented borrowers from being dishonest with the Grameen Bank. At the very beginning groups were formed of five people, with one with the role of president and another one of secretary. Women are so proud to be part of these groups and they are meeting every week to check the status of their finance. Grameen bank allowed them to have an easier and more secure access to their money. It never had a shortage of funds for its loans. It was always local money for the poor women in the area. Members were always told that they had to create, operate and develop their branches with their own money.

Six years after the creation of Grameen Bank, the equality gender of the member rose to a 50/50 ratio. The bank observed that the impact on the family was significantly better in families where women were the borrowers compared to families where the borrowers were men. After this the priority for women borrower was set up and it became a common policy for all microcredit programs worldwide.

Link to VICOBA

Grameen Bank has many similarities with Village Community Bank (VICOBA). VICOBA is a savings and loan fund for members who have joined together and formed a group for economic improvement purposes. The system started in Tanzania twenty years ago and has shown great success for its members in being able to lend to each other, helping each other to solve various problems as well set up joint economic projects.

Both forms of micro funding aim at empowering women and lifting families out of poverty by allowing them to borrow a small amount of money to be able to start a business and generate more money. In both cases, the groups are formed in the same way: members come from the same village and in general it is group of close friends or family members. Within the group, a steering committee of five people is elected annually with the roles of chairperson, secretary, treasurer and two accountants. Both village community banks have weekly meetings to manage the accounts and ensure that people repay on time their loans.

However, there are some differences such as the number of members in the groups: five for Grameen bank versus fifteen to thirty members for VICOBA.

The biggest difference between Grameen and VICOBA is that people part of Grameen bank must open a bank account in Grameen bank whereas VICOBA is completely manage by the members of the group and the money is lock in a box by the treasurer of the group. In VICOBA they also have the possibility to follow business trainings to help them to build their businesses.

Why should I be interested in this post?

Do you want to know how an economist won a Nobel Peace Price? Find out the story of Muhammed Yunus or “the banker to the poor” who created the concept of micro funding to help the poor rural to lift out of the poverty and let them a chance to live in better conditions. Besides being a brilliant economist, he is also a humanitarian and a successful businessman whose purpose in life is creating a World without poverty.

Related posts on the SimTrade blog

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Useful resources

Forbes Muhammed Yunus (Prix Nobel) (in French).

About the author

The article was written in August 2022 by Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022).

My professional experience as an intern at Caisse des Dépôts

My professional experience as an intern at Caisse des Dépôts

Louise Pizon

In this article, Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022) presents her internship experience at Bank of Territories from La Caisse des Dépôts in the Social and Solidarity Economy.

About the company

Caisse des Dépôts et Consignations (CDC), sometimes referred as Caisse des Dépôts, is a French public financial institution created in 1816. Under the direct control of a supervisory commission reporting to Parliament, it carries out general interest activities on behalf of the State and local authorities as well as competitive activities. It employs both civil servants and private-sector personnel under collective agreements.

Launched in 2018, Bank of Territories is a department of CDC. It supports local players in the service of regional development. It offers tailored advisory and financing solutions in loans and investments to meet the needs of local authorities, social housing organizations, local public companies and the legal professions. Bank of Territories also forges strategic partnerships with companies and financial players to carry out projects with a strong territorial impact. It is aimed at all territories, from rural areas to metropolitan areas, with the ambition of fighting against social inequalities and territorial fractures.

It mobilizes 20 billion by year to finance projects for local authorities and social housing actors. It has 35 local offices to ensure greater proximity to its clients. In September 2020, the Bank of Territories and BPI France launched a €40 billion “climate plan” over five years to support French companies in their ecological transition. Priority is given to building renovations and the development of renewable energies, with more than €14 billion budget for each. The rest of the budget should be devoted to innovation (5.6 billion euros), mobility (3.5 billion euros) and industry (1.5 billion euros).

To give an example, in 2013, the Caisse des Dépôts with the help of the State launched the waste recycling and insertion project in Haute Marne. The SCIC (Société Coopérative d’Intérêt Collectif) is called DIB 52 and consists of transforming common industrial waste (CIW), via the creation of platforms allowing the sorting and transformation of CIW into solid recovered fuel (SRF). This project has made it possible to respond to environmental issues thanks to an innovative industrial solution and, in addition, to create jobs.

Logo of La Banque des Territoires
Logo banque des territoires
Source: CDC

What is SSE?

The concept of Social and Solidarity Economy (SSE) designates a set of organizations in the form of cooperatives, mutual insurance, associations or foundations, whose internal functioning and activities are based on a principle of solidarity and social utility.

These enterprises adopt democratic and participatory management methods. The profits made are reinvested. Their financial resources are generally partly public.

Thus, SSE enterprises are concerned with their social or ecological impact. They aim at putting the human being and solidarity at the heart of the economy and respond to the major challenges of society (ageing well, transition to a local, sustainable food system, the circular economy).

My role and personal missions

I was intern in the Social and Solidarity Economy department of Bank of Territories.

I selected innovative start-ups respecting the environment or social utility company and I created their identity card to classify them. Indeed, to be eligible for different type of funding we need to segment them by type of activities. Then some of them will be chose to be financed and we help them for the process of development as an incubator.

The Social and Solidarity Economy department offered them a two-stage support solution for the creation stage and then the development stage. Our mission was to offer them a support as early as possible to be successful during the maturation of the project.

During the creation stage

We help for several tasks :

  • Create spaces for experimentation in each territory: specific advisors “young people” in an employment support contract, “hosting”/sponsoring of the bearers within a SSE enterprise of the sector (financed).
  • Help for the rebound in case of failure: assessments of the skills acquired during the creation.
  • Ensure a flexible and reactive support, adapted to the functioning of these initiatives, based on a mutual relationship between the mentor(s) and the entrepreneur(s)
  • Offer both technical support (legal, financial, administrative) and support on the substance of the projects’ approach (values, collective management, knowledge of the SSE …).
  • Immersions in other SSE companies, training on SSE and its values.
  • To insert the young people as soon as possible in a network as broad and varied as possible (collectives of support to projects). Mutualize the tools and devices of the SSE and the classic economy by the creation of common platforms.

During the development stage

We help them to set up supports for the perpetuation: lines of financing intended for the social innovation of young people (indicators and criteria adapted to the realities of the projects), improve the links between funders to simplify access to funding, make available specific territorial “funds of assistance” for funds for SSE activities of people under 35 years of age.

Raising awareness among local support network’ agents about the characteristics of young SSE projects. Provision of “drawing rights” on all the dimensions that cover support for young people over several years. Offer permanent and informal exchange spaces between holders to simplify the mode of creation of a SCIC. To make a place for young entrepreneurs in the SSE support systems.

Commitment of the Bank of Territories to the development of the SSE and social innovation

The State Secretariat for the SSE and Bank of Territories signed on November 3rd, 2020, an agreement to take an action on the strengthening of the support of SSE companies, the development of their financing and the support to social innovation.

With this objective in mind, Bank of Territories is mobilizing €300 million for the social and solidarity economy (SSE) between 2020 and 2022, as part of a pact to boost the SSE and social innovation.

This pact is based on two main goals:

  • Strengthening the support of SSE companies: Several actions must be carried out to improve the meeting between SSE companies and private financiers, particularly in the booming field of impact investment.
  • Financing SSE companies and social innovation

Thus, in addition to its support actions, Bank of Territories is committed to the State to deploy its investment actions over the next three years by:

  • Massively increasing the use of impact contracts*: These contracts make it possible to finance social innovation based on results and impact measurement. Within this framework, the State will launch calls for expressions of interest to identify projects in which the Bank of Territories will be able to invest in pre-financing.
  • Reinforcing its direct investments in the sectors of solidarity and medico-social services, food transition, local economic development, education and professional training, and digital inclusion.
  • Facilitate access to financing.

In addition, indirect investments (impact funds and sharing funds) will allow the Bank of Territories to multiply its support actions to SSE actors, in a complementary way to its direct investments.

General concepts

Impact contract

The impact contract is a partnership between the public and private sectors designed to encourage the emergence of innovative social and environmental projects. These contracts allow for the scaling up of solutions that have been identified in the field and are effective. The private and/or public investor pre-finances the project and takes the risk of failure in exchange for a pre-determined remuneration in case of success. The State only reimburses according to the results obtained and objectively observed by an independent evaluator.

How it works ?

The impact contract renews the financing of innovative projects carried out by actors in the social and solidarity economy. Under this system, social and environmental projects are financed by private and/or public investors, who are reimbursed by the State if the projects achieve the objectives previously set.

Impact contracts are not intended to replace traditional financing of social or environmental activities. They provide a complementary method of financing to facilitate the development of new activities or an innovative program for existing activities.

In concrete terms, the public authorities will launch calls for projects to meet social or environmental needs that are not, or are poorly, covered by the State: the selected structures will then be financed by a third-party investor. Depending on the results observed, based on indicators determined by the stakeholders, the State will remunerate the project leader, who will then be able to reimburse the investor.

Circular economy

The circular economy refers to an economic model whose objective is to produce goods and services in a sustainable manner, by limiting the consumption and waste of resources (raw materials, water, energy) as well as the production of waste. It is about breaking with the linear economy model (extract, manufacture, consume, throw away) for a “circular” economic model.

Intended to generate potential for the creation of activities and jobs, and to respond to the challenges of resource scarcity, circular economy approaches are based on the dynamics of multi-actor cooperation on a territorial scale.

Transition to a local, sustainable food system

The transition to food system refers to the process by which a society profoundly modifies its way of producing and consuming food. The term is used in the context of energy transition, the ecological transition or the demographic transition.

In the 2010s, the term transition to food system is increasingly used in the public debate to designate the expectations or efforts undertaken by the different actors in the chain (producers, processors, distributors, consumers, public authorities) to better respect the environment, improve the nutritional status of food, develop organic and fresh products, and produce under conditions that are more respectful of animal welfare and with greater equity between the actors in the chain.

Useful resources

Banque des territoires

Ellen MacArthur Foundation L’économie circulaire : du consommateur à l’utilisateur Video (in French).

About the author

The article was written in August 2022 by Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022).

My professional experience as a business developer at AJISO

My professional experience as a business developer at AJISO

Louise Pizon

In this article, Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022) presents her personal internship experience as a business developer at AJISO in the sector of micro funding.

Presentation of the organization

AJISO is a legal aid provision organization that was established in 1998 with the aim of promoting women and children rights and access to justice in society. It empowers women and children through access to justice, organizing public awareness raising meetings about human rights, legal education and Gender-based Violence (GBV). It also trains paralegals, the ward protection committees and child rights clubs to eliminate all forms of violence in society.

After realizing that poverty is a leading cause of GBV, AJISO embarked on empowering women economically by mobilizing them into Village Community Banks (VICOBA) groups where they receive entrepreneurship trainings and other demand driven skills which in turn allows them to engage in economic activities and improve their livelihood hence reducing the risk of being subjected to GBV.

Every year AJISO together with the paralegals serve more than 500 clients and reaches out to more than 93,659 people (43,808 male and 49,851 female) in Kilimanjaro and neighboring regions with legal and GBV education.

Organization structure of AJISO
Ajiso association in Tanzania
Source: Ajiso

Organization structure of AJISO
Organization structure
Source: Ajiso

My role

My role within the organization was to help underprivileged women and disadvantaged minorities in Tanzania to get out of poverty and empower them. I was also in charge of finding new solutions to resolve problems and limits they are facing in their daily life and VICOBA groups.

My personal missions

The main mission was to promote human rights, access to justice and socio-economic empowerment of women and children in Tanzania :

My first mission was to work on VICOBA which is the main solution use by AJISO to help low-income and poor people to get out of the poverty by using micro funding. The solution of VICOBA groups to help people to build their own business. This solution is great and successful but has limits, so I found solution to these limits.

My second mission was to help communities, especially women that wish to join these groups but are unable to afford shares due to their extreme poverty situations. You need 10.000 Shilling to enter in these groups which represent around 3 euros.

My third mission was to work on the problem of wood in households. Indeed, most of the households have a traditional oven which uses a lot of wood. Women spend a lot of time in the wood to find firewood and during this time they are losing customers and money. Because of this they are enabled to buy shares in VICOBA group.

In addition to my missions, I have been working on the preparation of a training guide on VICOBA groups for a better understanding of the system for members and interested people.

Required skills needed

To work for AJISO you need minimum a bachelor’s in economics. The skills and knowledge needed are basics in finance, background in law, social work, gender issues, media or other relevant fields.

The language requirement is English C1.

You need to be flexible and have a strong adaptability to other culture as you will face “different” ways of work, “different” times of work, “different” ways of communication, and different planning and organization. You need also to be altruist to live together. It means a “different” way of managing projects and “different” expectations about the results of the projects. You should be capable to cope with these differences.

You need to send a contribution of 450€ to participate to the program.

Concepts

Village Community Bank (VICOBA)

VICOBA (Village Community Bank) is a savings and loan fund for members who have joined together and formed a group for economic improved purposes. The system started in Tanzania twenty years ago and has shown great success for its members to be able to lend to each other, help each other in various problems as well set up joint economic projects.

The micro funding provided by VICOBA involves banking transactions and group deposits using a share system. Shares are funds that are invested by a group member in the group for the purpose of making profit and becoming the owner of the group. A group member can buy one or more shares. The value of one share will be based on the agreement of the members of the group and it is recommended that the rate take into account the economic potential of its members. So, this feature requires group members to buy shares for each one by loudly stating the number of shares they are buying and the amount of social fund they are investing.

The VICOBA system is like any other financial system that requires a lot of attention in managing its records and assets. The VICOBA system encourages records to be stored in categories (shares and loans) and this is to simplify and be sure when one of the records is read differently or when it causes controversy. In the VICOBA system, records are recorded in the member’s book, group ledger.

With the help of the Economic Empowerment program of AJISO, at least 900 (756 female and 144 male) people including people living with disabilities 34 (18 male and 16 Female) were empowered with knowledge of VICOBA and entrepreneurship which in turn has enabled them to start and expand their businesses to improve their livelihood.

Economic benefits from VICOBA Bank

VICOBA has a lot of economic benefits compare to a normal bank. VICOBA members can benefit from borrowing’ procedures without collateral. The low interest rates are decided by the group members and it is charge between 5 to 10%. At the end of each cycle, shareholders received a return on investment. So, you can win money by simply injecting money into the fund (buying shares).

The poor and low-income household have access to a wide range of financial services such as deposit, loans, payment services, money transfers and insurance products.
All these benefits permit to low-income household to be able to invest in their small businesses and increase their income. VICOBA bank is simple with transparent transactions, It is a safe economic and a good way to secure group members’ market.

Weekly meeting of a VICOBA group
Meeting Vicoba
Source: Vicoba

My takeaway

Working for AJISO was a great experience both on a professional and personal level.

During this internship I understood that the success of an organization is based on the projects that propose long-term solutions to the problems of development and poverty. It was very beneficial to me and made me understand the importance of our involvement in a responsible cooperation generating a human development which will allow the village population that wish develop their business to set up autonomous actions to reach precise objectives. I believe that we can reduce poverty with the implementation of community development, social justice and various forms of emergency interventions.

For the personal aspect, I have acquired a greater sensitivity and knowledge of global inequalities. I understand the importance of helping each other to make things evolve. I learned to be humble because we are so lucky to live in such conditions in France and I am thankful.

Why should I be interested in this post?

If you are interesting to work for a NGO or helping low income people to going out of the poverty through micro funding this post is for you. In this post, I explain my experience as a business developer withing the association AJISO headquarter in Tanzania. And how an almost entirely female association has succeeded in lifted a large part of the population out of poverty.

Related posts on the SimTrade blog

   ▶ All posts about Professional experiences

   ▶ Louise PIZON Vicoba

Useful resources

AJISO

About the author

The article was written in August 2022 by Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022).

VICOBA

VICOBA

Louise Pizon

In this article, Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022) explains the concept of Village Community Bank (VICOBA) which is a type of micro funding used in non-governmental organizations (NGOs).

Village Community Bank (VICOBA)

Village Community Bank (VICOBA) is a savings and loan fund for members who have joined together and formed a group for economic improvement purposes. The system started in Tanzania twenty years ago and has shown great success for its members in being able to lend to each other, helping each other to solve various problems as well set up joint economic projects.

What is micro funding? It is the funding of projects that are too small to gain support from mainstream venture capital firms. Through micro funding, such projects can be linked to a group of investors willing to take a chance on the project. Micro funding allows entrepreneur to network with investors and managers to grow your business to the next level.

Purpose of VICOBA group and activities

A VICOBA group is a group of people who have agreed to gather their strengths and resources together to eradicate poverty and bring development in their household. Group members will participate to all group activities as weekly meetings and general meetings, elect a steering committee and establish group rules to guide them.

It is better for groups to meet weekly to increase intimacy and help the loan’ fund to grow faster. Previous experiences have shown that the growth of a group that meet weekly is faster from the growth of a group that meet once a month. Weekly meeting helps people to repay their loans on time and keep the cash flow within the group stable.

All VICOBA group activities are run by the group members themselves through volunteerism. By experience, group members can effectively carry out their activities after receiving leadership training and management teamwork from VICOBA experts, which are AJISO members.

AJISO is a legal aid provision organization in Tanzania who help women to empowered themselves economically, in pushing them to be part of a VICOBA group and giving them some entrepreneurship trainings to allows them to be engage in economic activities and improve their livelihood.

Steps to create a VICOBA group

A VICOBA group is created following the steps:

  • Persons with the idea of starting a group to meet (not less than fifteen and not more than thirty)
  • Members collect admission fees usually 10,000 TZS per member. The money is used to buy equipment such as ledgers, passbooks, etc.; Admission fees are also used for group registration costs.
  • Members start the training supervised by an AJISO trainer.
  • Members formulate a constitution and rules that will include the level of shares, the social fund, and the date of the meeting.

Details rules of VICOBA

VICOBA groups are made up of 15 to 30 members who are self-selected. These groups come from small groups of five people whose members select and assemble themselves. Members begin to buy shares in the group and after a delay of twelve weeks the share fund begins to be lent to its members.

Membership of VICOBA groups is open to women and men and at least two of the five members of the steering committee must be women. A person who is heavily indebted to other such groups will not be allowed to join the scheme until he has paid off his debts. Religious and government leaders will be allowed to join the program but will not be allowed to lead the group, these leaders are not allowed to be leaders due to their positions and responsibilities they have in society, instead they will be group advisors.

VICOBA groups elect their leaders who are a chairperson, a secretary, a treasurer and two accountants. The members of the steering committee are elected annually and may be removed at any time if 2/3 of the members of the general assembly decide so. VICOBA groups formulate their own rules of governance, and these groups are self-reliant. Each group has its own rules, and these rules give authority to the group leadership to show direction for the conduct of group activities as well as the resolution of group conflicts.

Each participant needs to know all the group rules and to follow them accordingly. VICOBA groups met in a specific order: group members determine the best time to meet. This system emphasizes the group meeting weekly but may consider meeting monthly but will depend on the activities carried out by the members themselves. The group will agree on the date of the meeting, the time of the meeting and the place of meeting. However, the group is important to consider what this program suggests to going further strengthen collaboration and communication to be closer among members. Meeting weekly will allow some members who want to take out loans to make it easier and those who want to take out emergency loans as well.

Fundraising process

The fundraising process involves banking transactions and group deposits using a share system. Shares are funds that are injected by a group member into the group for the purpose of making profit and becoming the owner of the group. Group members contribute financially each week in buying one to five shares. The value of one share will be based on the agreement of the members of the group and it is recommended that the rate take into account the economic potential of its members.

This system requires that each group members buy shares in loudly stating the number of shares that they are buying and the amount of social fund they are investing. The member will submit the money to the accountants and the book is handed over to the treasurer for replenishing the shares and social fund in which the member has invested.

Procedures for repaying loans

Loans given to VICOBA members should be repaid with a small interest which is used to fund the group. This supplement is distributed as a benefit to members based on the number of shares, they have each deposited. Initial loans that are usually smaller than subsequent loans are required to be repaid for a period of 3 to 6 months.

Benefits

VICOBA loans are small loans granted to the poor and low-income households for their microenterprises and small businesses to enable them to raise their income levels and improve their living standards.

This micro lending model has ensured women to be empowered and independent enough through loans taken from VICOBA, using this loan to develop their economic activities. This system promotes the integration of the poor into the process of economic growth, people who do not have access to the formal labor market can often benefit from pooling resources and working in these groups. VICOBA has cultivated the culture of saving, now members have some money to curter their daily expenses and savings. Most of them have changed from poor life to a better life.

Example of success story

Mary CHARLES (37 years old) lives in Usseri division tell her story :

“I am able to provide to my family all the necessities they need, including food, clothing, and medical treatment. I can educate my two children, one is in seventh grade and the other one in third grade, thanks to my dress hair salon business. I obtained the capital to start my business after joining a VICOBA group. I was able to borrow six hundred thousand shillings (600,000 TZS) and so far, I have been able to repay four and half thousand shillings (450,000 TZS) through the profit I get from my business. I aimed to have another salon in the Tara kea Division at the marketplace. Corona’s disease has pushed me back because the business was so volatile, customers were afraid of getting an infection.”

Mary Charles in her shop
 Mary Charles
Source: Mary Charles

Why should I be interested in this post?

If you are interesting to work for a NGO or helping low income people to going out of the poverty through micro funding this post is for you. In this post, I explain the principle of micro funding named VICOBA using by the association AJISO headquarter in Tanzania to help the population to live in better conditions and more particularly empowered women.
This system can be used in all countries, it only needs a good and devoted team to train future members to be autonomous and teach them some basic business knowledges.

Useful resources

VICOBA Micro funding (ICD)

Related posts on the SimTrade blog

   ▶ All posts about professional experiences

   ▶ Louise PIZON My professional experience as a business developer at AJISO

About the author

The article was written in August 2022 by Louise PIZON (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2022).

My experience as an M&A Analyst Intern at Oaklins Atlas Capital

My experience as an M&A Analyst Intern at Oaklins Atlas Capital

Basma ISSADIK

In this article, Basma ISSADIK (ESSEC Business School, Global Bachelor of Business Administration, 2019-2023) shares her experience as an M&A Analyst intern at Oaklins Atlas Capital.

In May-June 2021, I was able to intern at Oaklins Atlas Capital, which is the Moroccan branch of Oaklins, a leader of M&A advising in mid-market operations. Oaklins group has advisory teams in 45 countries around the world. The Oaklins team provides mergers and acquisitions, growth equity and equity capital markets, debt advisory and corporate finance advisory services.

Oaklins Atlas Capital

Founded in 1999, Atlas Capital is an independent investment bank in Morocco covering all businesses: investment banking, asset management, stock market intermediation and private management. Offering a range of financial services with high added value, it targets a diversified clientele, whether companies and public offices, financial institutions, private companies or individual investors. It then was included in the Oaklins group and network which has presence across the globe through its 45 teams from Stockholm to Shanghai, from New York to São Paulo. The bank benefits from cross-border collaboration which helps the teams find the best suitable deals for its clients with a track record of more than 1900 deals being closed in the past five years.

Logo Oaklins Atlas Capital
Oaklins Atlas Capital
Source: Oaklins Atlas Capital.

My internship at Oaklins Atlas Capital

During May-June 2021, I worked as an M&A Analyst intern at Oaklins Atlas Capital. During my time at the bank, my main responsibilities were writing fact sheets about new clients (through communication with the Oaklins Network) and target companies / projects in Morocco. I was also responsible for drafting presentations (teaser, pitch, kick off meetings), for valuations (DCF, transactions) of the target companies once our clients confirmed their interest with it, and for assisting senior management in day-to-day tasks in relation to the transactions.

This experience was my very first in investment banking and it helped me understand the M&A process and how important negotiation and customer relationships were to this field. This internship introduced me to the very basics of Mergers and Acquisitions through a high-level of personal attention and monitoring as I was in a team of five in total including two partners and three interns. I had the opportunity to learn directly from professionals who have been in the field for 20+ years. Moreover, through this internship, I have been exposed to many industries: textile, technology, agriculture, food processing industry, electrical equipment, infrastructure, renewable energy and to clients from all over the world.

Skills needed

  • Strong interpersonal skills
  • Financial analysis skills
  • Customer service (if you are to interact with clients)
  • To be familiar with finance and be able to analysis financial data
  • To be familiar with digital tools such as pptx and excel

What I have learnt from the internship

This internship has helped me learn so much about cross-border operations and how to approach potential acquirers with target companies and discuss the acquisition with them. It has also enabled me to have a solid understanding of many industries as I was in charge of sectoral research.

Key concepts related to my work

Mergers and acquisitions

Why do companies merge with and acquire other companies? Mergers and acquisitions are the act of consolidating companies or assets with an eye toward stimulating growth (it can expand a company’s market shares without it having to do significant heavy lifting), gaining competitive advantages (maybe eliminating competition and gaining market share), increasing market share, or influencing supply chains (eliminating a tier of costs).

A merger describes two companies uniting into a single company, where one of the two companies ceases to exist after being absorbed by the other company. The boards of directors of both companies must first secure approval from their respective shareholder bases. In 2006, Disney and Pixar completed a successful merger.

An acquisition occurs when one company (the acquirer) obtains a majority stake in the target firm, which incidentally retains its name and legal structure. For example, after Amazon acquired Whole Foods in 2017, the latter company maintained its name and continued executing its business model, as usual.

Tender Offer

A tender offer is a bid to purchase some or all of shareholders’ stock in a corporation. Tender offers are typically made publicly and invite shareholders to sell their shares for a specified price and within a particular window of time.

The price offered is usually at a premium to the market price and is often contingent upon a minimum or a maximum number of shares sold. To tender is to invite bids for a project or accept a formal offer such as a takeover bid. An exchange offer is a specialized type of tender offer in which securities or other non-cash alternatives are offered in exchange for shares. For example, Elon Musk has recently announced making a tender offer to acquire Twitter.

Proxy fight

A proxy fight refers to the act of a group of shareholders joining forces and attempting to gather enough shareholder proxy votes to win a corporate vote. Sometimes referred to as a “proxy battle,” this action is mainly used in corporate takeovers. For example, Microsoft Corporation made an unsolicited offer to buy Yahoo for $31 per share. The board of directors at Yahoo believed the offer by Microsoft under-valued the company, and, consequently, the board stalled any negotiations between Microsoft and Yahoo executives.

Why should I be interested in this post

This post is interesting for everyone who would like to work in investment banking and who would like to kick start their career by doing a summer internship.

Useful resources

Oaklins Atlas Capital

Related posts on the SimTrade blog

   ▶ All posts about Professional experiences

   ▶ Basma ISSADIK My experience as an M&A/TS intern at Deloitte

   ▶ Anna BARBERO Career in finance

   ▶ Alexandre VERLET Classic brain teasers from real-life interviews

About the author

The article was written in August 2022 by Basma ISSADIK (ESSEC Business School, Global Bachelor of Business Administration, 2019-2023).

My experience as an M&A/TS intern at Deloitte

My experience as an M&A/TS intern at Deloitte

Basma ISSADIK

In this article, Basma ISSADIK (ESSEC Business School, Global Bachelor of Business Administration, 2019-2023) shares her experience as an M&A/TS (Mergers and Acquisitions / Transaction Services) Intern at Deloitte.

Summer 2021, I was able to intern at Deloitte Casablanca for a couple of months. I was in the Transaction Services team which was in charge of advisory in deal and IPO readiness, target screening, sell-side and buy-side due diligence, transaction accounting and reporting, and business integration or separation. Transaction services typically refers to the services provided when a business transaction takes place. An example of a business transaction would be a merger or acquisition of a company.

Deloitte

Founded in 1845, Deloitte is one of the biggest professional service providers in the world. Being one of the “Big Four” accounting firms, it provides services in audit and assurance, consulting, financial advisory, risk advisory, tax and legal advisory. Deloitte was founded by William Welch Deloitte in London in 1845 and expanded into the United States in 1890. It merged with Haskins & Sells to form Deloitte Haskins & Sells in 1972 and with Touche Ross in the US to form Deloitte & Touche in 1989. As of 2020, Deloitte is the third-largest privately-owned company in the United States, according to Forbes. The firm has sponsored a number of activities and events including the 2012 Summer Olympics.

Logo Deloitte.
Logo Deloitte
Source: Deloitte.

My internship at Deloitte

When I arrived at Deloitte in July 2021, the team was working on a specific project in cooperation with the Minister of the Industry. I was in charge of analyzing the eligibility of our clients to obtain financing from the Minister of the Industry. We already had set criteria for the companies that would later be presented to the Minister of the Industry. Our mission was to select the interesting project in accordance with the “banque de projet” which had already been established and advise the companies to meet the criteria as best as they can. These criteria were of different natures:

  • In financing for instance, there should be a portion of the project financed by the shareholders / founders.
  • The forecasted financial figures should be realistic.
  • The business plan should fit within the criteria and so on…

The junior analysts made sure I was closely supervised and assisted whenever I needed help with anything. I was communicating with them on a daily basis, and they all ensured I had a great experience at Deloitte which is what differentiates the firm from other competitive professional services companies. From the start I was given a lot of responsibilities which I was very happy about. I was able to participate in meetings and had the opportunity to lead one at the end of my internship. It was a really good experience in a way that enabled me to have direct contact with professionals and feel very useful to the team as well.

Skills needed

  • To have some experience in accounting
  • To be able to communicate and interact with the team
  • To possess analytical skills and problem-solving skills
  • To be familiar with financial reporting
  • To be familiar with digital tools such as pptx and excel
  • To have a strong learning ability
  • Be able to take responsibilities early on

What I have learnt from the internship

This internship has taught me a lot on the importance of meticulousness and how vital it is to be very rigorous with the data we are given and the analysis we do of it. I have also learned lots about the role of an auditing and consulting firm in advising clients to make the best decisions for their companies.

Key concepts related to my internship

Due diligence

Due diligence is an investigation, audit, or review performed to confirm facts or details of a matter under consideration. In the financial world, due diligence requires an examination of financial records before entering a proposed transaction with another party. Due diligence (DD) is an extensive process undertaken by an acquiring firm in order to thoroughly and completely assess the target company’s business, assets, capabilities, and financial performance. There may be as many as 20 or more angles of due diligence analysis.

The main types of due diligence inquiry are as follows:

  • Administrative DD: Is the aspect of due diligence that involves verifying admin-related items such as facilities, occupancy rate, number of workstations, etc.
  • Financial DD: Financial DD aims to provide a thorough understanding of all the company’s financials, including, but not restricted to, audited financial statements for the last three years, recent unaudited financial statements with comparable statements of the last year, the company’s projections and the basis of such projections, capital expenditure plan, schedule of inventory, debtors and creditors, etc.
  • Legal DD
  • Asset DD
  • Human Resources DD
  • Environmental DD
  • Taxes DD : Due diligence in regard to tax liability includes a review of all taxes the company is required to pay and ensuring their proper calculation with no intention of under-reporting of taxes.
  • Intellectual Property DD: Almost every company has intellectual property assets that they can use to monetize their business. These intangible assets are something that differentiates their products and services from their competitors.
  • Customer DD
  • Strategic Fit: Acquirers are generally also very careful about exercising due diligence in regard to evaluating how well the target company fits in with the overall strategic business plan of the buyer.

Why should I be interested in this post

You should be interested in this post if you are interested in working in finance in general because it might help you understand if you would like to work in the field or not, and maybe help you refine your professional project.

Related posts on the SimTrade blog

   ▶ All posts about Professional experiences

   ▶ Basma ISSADIK My experience as an M&A Analyst Intern at Oaklins Atlas Capital

   ▶ Anna BARBERO Career in finance

   ▶ Alexandre VERLET Classic brain teasers from real-life interviews

Useful resources

Deloitte

About the author

The article was written in August 2022 by Basma ISSADIK (ESSEC Business School, Global Bachelor in Business Administration, 2019-2023).

Moving averages

Moving averages

Jayati WALIA

In this article, Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains the concept of moving averages and its implementation in financial markets as an indicator in technical analysis of stock price movements.

What is a moving average?

A moving average is a technique to analyze a time-series of data points by taking subsets of data and computing their averages. The subsets of data can explicitly be of a fixed size like simple moving averages or implicitly take into account all past points like exponential moving averages. These averages computed on rolling windows constitute a new time series. The aim of this exercise is essentially to filter noise and smoothen out the data in order to identify an overall trend in the data.

In financial markets, moving averages are one of the most popular indicators used in technical analysis. A moving average is used to interpret the current trend of a stock price (or any asset). It basically shows the price fluctuations in a stock as a single curve and is calculated using previous prices. Hence, a moving average is a lagging indicator.

Moving averages can be computed for different time periods such as 10 days, 20 days or 200 days. The greater the length of the time period (the lag in the trend), the greater the degree of smoothness in the moving average, however, the lower the price sensitivity of the moving average.

To measure the direction and strength of a trend, moving averages involve price averaging to establish a baseline. For instance, if the price moves above the average, the indicated trend is bullish and if it moves below the average, the trend is bearish. Moving average crossovers are also used commonly in trading strategies to identify trends. It then involves two moving averages: one computed on a short-term period and another one computed over a long-term period. When a shorter period moving average crosses above a longer period moving average, the trend is identified as bullish and indicates a buy signal. When a shorter period moving average crosses below a longer period moving average, the trend is identified as bearish and indicates a sell signal.

Moving averages are also used in development of other indicators such as Bollinger’s bands and Moving Average Convergence Divergence (MACD).

Types of moving averages

The moving average indicator can be of many types. Two basic types of moving averages and their interpretation are explained below: simple moving average and exponential-weighted moving average.

Simple moving average

Simple moving average (SMA) is the easiest type of moving average to compute. An n-period SMA is simply calculated by taking the sum of the closing prices of an asset for the past ‘n’ time-periods divided by ‘n’.

The formula to compute the SMA at time t is given by:

Simple moving average formula

Where Pi represents the asset price at time i (i indicating any time between the interval [t-n, t]).

If the current asset price is greater than the SMA value, the viewpoint for trend is established as bullish and similarly, if the current asset price is less than the SMA value, the viewpoint for trend is established as bearish.

Figure 1 below illustrates the 20-day and 50-day SMA for Amazon stock price.

Figure 1. 20-day and 50-day simple moving averages for Amazon stock price.
20-day and 50-day SMA for Amazon stock price Source: Computation by author.

We can observe from the above figure that when the price is going down, the SMA also is going downwards (as expected from the formula). It can also be seen that the movement of the SMA curve lags the change in price movements. The greater is the chosen time-period for SMA, the greater is the lag observed. Thus, while a 50-day SMA maybe smoother compared to a 20-day SMA, the lag observed will also be greater.

Exponential-weighted moving average

Exponential-weighted moving average (EWMA), also known as exponential moving average (EMA) is an improvisation of moving average over the SMA. It assigns weights to moving averages such that the recent data points are assigned greater weight factors than older data points. Thus, EWMA is more sensitive to recent price changes and the line is smoother than that of SMA.

The formula to compute the value of the EWMA at time t is given by:

Exponential-weighted moving average formula

Where Pt represents the stock price at time t, and α is a smoothing (or weighting) factor.

The series is initialized as: EWMA0 = P0.

The smoothing factor, α, is a constant value which lies between 0 and 1. The higher the value of α, the greater the weight assigned to the recent data, and the less smooth the EWMA curve.

How to set alpha for an exponential-weighted moving average?

α can be varied by a trader using EWMA based on how heavily he or she wants the recent data to be weighted. If a single EWMA is being considered, an optimal value for alpha can be chosen by minimizing the mean-squared errors (MSE).

A rule of thumb sometimes by traders is specified as:
Alpha for EWMA

For instance, for a short-term EWMA with the lookback period, n = 20, and alpha is equal to 2/21 = 0.095. For a long-term EWMA with n = 50, and alpha is equal to 0.039. Note that n is not related to a meaningful number of days like for the SMA.

When α=2/(n+1), the weights of an SMA and EWMA have the same center of mass.

A more sophisticated method is to relate alpha to the ‘half-life’ concept, meaning how long it takes for the weight to become half of the weight of the most recent data.

If the formula of EWMA is expanded for k days, we get the following:

EWMA formula expanded

For α=2/(n+1), the idea is that for a sufficiently large value of n, the sum of weights assigned to last n days is around 86%.

Figure 2 below illustrates the weights of each day for a EWMA with α equal to 3.92% (corresponding to n equal to 50 with the rule of thumb used by traders). It can be observed that the weights are decreasing in an exponential fashion and lower values are assigned as weights to the least recent days. The sum of the weights assigned to the first 10 days is 35.60 %, the first 50 days 86.47%, and the first 100 days 98.24%.

Figure 2. Weights of each day for an EWMA
EWMA day weights
Source: Computation by author.

Crossovers

EWMA is typically used in crossovers, which is a common strategy used by traders wherein two or more moving averages can help determine a more long-term trend. Basically, if a short-term EWMA crosses above a long-term EWMA, the crossover indicates an uptrend and similarly, if a short-term EWMA crosses below a long-term EWMA, the crossover indicates a downtrend. Traders can utilize it to establish their position in the stock.

Figure 3. below illustrates short-term and long-term EWMA curves for Amazon stock prices.

Figure 3. Short-term and long-term EWMA for Amazon stock price.
img_SimTrade_EWMA_Amazon_stock
Source: Computation by author.

We can observe in the figure above that the short-term EWMA follows the price movements in Amazon stock more closely than the long-term EWMA does. We can also see that a crossover of the two EWMA curves is followed by a change in trend. For instance, in April 2022, the short-term EWMA crosses below the long-term EWMA and there is an evident downtrend observed post the crossover.

You can also download below the Excel file for computation of SMA and EWMA for Amazon stock price and visualize the above graphs.

Download the Excel file to compute SMA and EWMA for Amazon stock price

Related posts on the SimTrade blog

   ▶ Jayati WALIA Trend analysis and trading signals

   ▶ Jayati WALIA Bollinger bands

   ▶ Akshit GUPTA Momentum trading strategy

Useful resources

Hunter, J. S. (1986). The exponentially weighted moving average. Journal of Quality Technology, 18:203–210.

Wikipedia Moving averages

National Institute of Standards and Technology (NIST) US Department of Commerce Single Exponential Smoothing

About the author

The article was written in August 2022 by Jayati WALIA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Pricing barrier options with simulations and sensitivity analysis with Greeks

Pricing barrier options with simulations and sensitivity analysis with Greeks

Shengyu ZHENG

In this article, Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains the pricing of barrier options with Monte-Carlo simulations and the sensitivity analysis of barrier options from the perspective of Greeks.

Pricing of discretely monitored barrier options with Monte-Carlo simulations

With the simulation method, only the pricing of discretely monitored barrier options can be handled since it is impossible to simulate continuous price trajectories with no intervals. Here the method is illustrated with a down-and-out put option. The general setup of economic details of the down-and-out put option and related market information are presented as follows:

General setup of simulation for barrier option pricing

Similar to the simulation method for pricing standard vanilla options, Monte Carlo simulations based on Geometric Brownian Motion could also be employed to analyze the pricing of barrier options.

Figure 1. Trajectories of 600 price simulations.

With the R script presented above, we can simulate 6,000 times with the simprice() function from the derivmkts package. Trajectories of 600 price simulations are presented above, with the black line representing the mean of the final prices, the green dashed lines 1x and 2x standard deviation above the mean, the red dashed lines 1x and 2x derivation below the mean, the blue dashed line the strike level and the brown line the knock-out level.

The simprice() function, according to the documentation, computes simulated lognormal price paths with the given parameters.

With this simulation of 6,000 price paths, we arrive at a price of 0.6720201, which is quite close to the one calculated from the formulaic approach from the previous post.

Analysis of Greeks

The Greeks are the measures representing the sensitivity of the price of derivative products including options to a change in parameters such as the price and the volatility of the underlying asset, the risk-free interest rate, the passage of time, etc. Greeks are important elements to look at for risk management and hedging purposes, especially for market makers (dealers) since they do not essentially take these risks for themselves.

In R, with the combination of the greeks() function and a barrier pricing function, putdownout() in this case, we can easily arrive at the Greeks for this option.

Barrier option R code Sensitivity Greeks

Table 1. Greeks of the Down-and-Out Put

Barrier Option Greeks Summary

We can also have a look at the evolutions of the Greeks with the change of one of the parameters. The following R script presents an example of the evolutions of the Greeks along with the changes in the strike price of the down-and-out put option.

Barrier option R code Sensitivity Greeks Evolution

Figure 2. Evolution of Greeks with the change of Strike Price of a Down-and-Out Put

Evolution Greeks Barrier Price

Download R file to price barrier options

You can find below an R file (file with txt format) to price barrier options.

Download R file to price barrier options

Why should I be interested in this post?

As one of the most traded but the simplest exotic derivative products, barrier options open an avenue for different applications. They are also very often incorporated in structured products, such as reverse convertibles. It is, therefore, important to be equipped with knowledge of this product and to understand the pricing logics if one aspires to work in the domain of market finance.

Simulation methods are very common in pricing derivative products, especially for those without closed-formed pricing formulas. This post only presents a simple example of pricing barrier options and much optimization is needed for pricing more complex products with more rounds of simulations.

Related posts on the SimTrade blog

   ▶ All posts about Options

   ▶ Shengyu ZHENG Barrier options

   ▶ Shengyu ZHENG Pricing barrier options with analytical formulas

Useful resources

Academic articles

Broadie, M., Glasserman P., Kou S. (1997) A Continuity Correction for Discrete Barrier Option. Mathematical Finance, 7:325-349.

Merton, R. (1973) Theory of Rational Option Pricing. The Bell Journal of Economics and Management Science, 4:141-183.

Paixao, T. (2012) A Guide to Structured Products – Reverse Convertible on S&P500

Reiner, E.S., Rubinstein, M. (1991) Breaking down the barriers. Risk Magazine, 4(8), 28–35.

Rich, D. R. (1994) The Mathematical Foundations of Barrier Option-Pricing Theory. Advances in Futures and Options Research: A Research Annual, 7:267-311.

Wang, B., Wang, L. (2011) Pricing Barrier Options using Monte Carlo Methods, Working paper.

Books

Haug, E. (1997) The Complete Guide to Option Pricing. London/New York: McGraw-Hill.

Hull, J. (2006) Options, Futures, and Other Derivatives. Upper Saddle River, N.J: Pearson/Prentice Hall.

About the author

The article was written in June 2022 by Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023).

Asset Allocation

Asset Allocation

Akshit Gupta

This article written by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022) explains asset allocation, a much-discussed topic in asset management.

Introduction

Asset allocation refers to the process of dividing an investment among different assets and, at a more integrated level, asset classes, sectors of the economy and geographical areas.

The allocation of an investor’s money across different assets can be analyzed according to different dimensions: investment objective, risk profile, and time horizon. The allocation process helps in finding a right balance between these dimensions and ultimately generates optimal returns in terms of expected return and risk. A key concept underlying asset allocation is diversification.

There are several assets in financial markets that the investor can use in his/her asset allocation. These asset classes include traditional assets like equities, bonds and cash, and alternative assets like real estates, commodities, and cryptocurrencies. Investors may also use combinations of such basic assets like mutual funds, exchange trade funds and more complex products like structured products.

Basics of asset allocation

Characteristics of investors

The characteristics of asset allocation for investors comes from its significant impact on the portfolio performance. Asset allocation decisions rely on input of the process: investment objective, risk profile, and time horizon.

Investment objective

The process of asset allocation impacts the financial objectives of the investor. If the investor has a low-risk appetite, he/she might be exposed to high degree of risk by investing in equities. Thus, such an investor should invest in safer assets such as bonds and fixed deposits to have a low-risk portfolio.

Risk Profile

The risk appetite of an investor determines the mix of different asset classes in a portfolio. Investors aiming for low risk should include a comparatively higher mix of risk less assets like bonds and real estate than equities.

Time horizon

The time horizon of an investment is also an important characteristic of the asset allocation process. Investors can either invest for a long-term time horizon or a short term depending on their investment objective.

Characteristics of assets

The characteristics of asset allocation comes from its significant impact on the portfolio performance. Asset allocation decisions can also rely on asset’s features such as: Expected returns, risk, and correlation.

Expected returns

The main focus of any investment in financial markets is to make maximum profits (returns) within a coherent risk level. Different asset classes have traditionally offered different returns, determined by their risk levels and market correlation. Generally, bonds have offered a lower long-term return as compared to the equity markets. Thus, investors aiming for higher returns should include an higher mix of these high return asset classes like equities than bonds.

Risk

Different asset classes have different characteristics and thus, different risk levels. The bonds market is generally considered less risky as compared to the equity markets. Thus, investment in bonds exposes the investor to a lower degree of risk than investing in equities.

Correlation

Different asset classes differ in their correlation which is also an important factor while deciding the optimal portfolio mix. It is possible that one asset class might be increasing in value whereas the other may be decreasing in value. For example, if the bonds markets are trending upwards, it is possible that the equity markets might be falling. Thus, by having an optimal mix of these asset, the investor can be compensated for the losses in equity markets with gains in the bond markets. Degree of correlation plays an important role in protecting the investor from downfalls in one asset class by compensating the losses with gains in other asset class.

Asset allocation processes

The asset allocation processes can be divided into two types: strategic asset allocation and tactical asset allocation.

Strategic asset allocation

Strategic asset allocation is a long-term investment strategy driven by long term market outlook and fundamental trends in the market. The strategy follows a top-down approach, and the investor generally looks at the macro level trends followed by trends in different asset classes to take the investment decisions. The investor following this allocation type generally has a pre-defined return expectation and risk tolerance levels and practices diversification to lower the risk. These investments are made in traditional assets like equities, bonds and cash assets but can also include alternative assets.

The investor follows a fixed objective which remains unchanged throughout the investment horizon. This can include a policy mix of investing 40% of portfolio in equities, 30% in bonds, 10% in real estate and remaining 20% in cash. As opposed to the tactical asset allocation, strategic asset allocation involves periodical rebalancing of the portfolio to get higher returns. If the investor diverges from the fixed objective, he/she must rebalance the portfolio to unify it with the original mix.

This strategy is suited to new or irregular investors who seek to generate returns at par with the market returns. The standard asset class suited for this strategy includes mutual funds, ETFs, blue-chip equities, bonds, fixed deposits, and real estate.

Tactical asset allocation

Tactical asset allocation involves actively investing in asset and securities to enhance portfolio returns by constantly rebalancing the portfolio and exploiting market anomalies. Even though the investor is following strategic asset allocation, the financial markets often present attractive buying or selling opportunities which can be exploited by tactical asset allocation to attain even higher returns. These opportunities can involve cyclical deviations in businesses, momentum trends and exploiting under valuations. However, these deviations from strategic allocation are often done carefully so as not to hinder the long-term objective.

The investment horizon in this strategy can be short or long depending on the investor’s preferences. However, the investor tries to generate higher returns and constantly rebalances the portfolio to achieve these returns by exploiting the market inefficiencies. Tactical asset allocation requires good understanding of the financial markets and is generally practiced by experienced investors with moderate to high risk tolerance.

Asset allocation over time

The investors deciding on the asset allocation process over time can follow different approaches, which includes:

Passive management: the buy-and-hold approach

In a passive asset management, the aim of the investor is to replicate the performance of a benchmark index. These investors can have lower risk appetite; thus, replications help to reduce the risk exposure for them. The investors following a passive approach can buy the individual components of the index by applying similar weights and invest with a moderate to long term time horizon in mind. The suitable asset classes for such investors can include mutual funds, exchange traded funds, index funds, etc.

Active management: dynamic asset allocation

In active asset management, the aim of the investor is to maximize the returns on the portfolio by actively investing in asset classes. The portfolio mix is frequently adjusted to capitalize on the short-term trends across different asset classes. The rebalancing decisions are based on business and economic cycles, momentum trends, relative valuations across different asset classes and macro factors like inflation, GDP growth, etc. The investor tries to beat the benchmark indices by dynamically trading in different asset classes and exploiting the market inefficiencies. They generally have high risk appetite and good knowledge about different asset classes. The suitable asset classes for such investors can include equities, commodities, and bonds.

Useful resources

US Securities and Exchange Commission (SEC) Asset Allocation

Related Posts

   ▶ Youssef LOURAOUI Systematic risk and specific risk

   ▶ Youssef LOURAOUI Portfolio

About the author

Article written in July 2022 by Akshit GUPTA (ESSEC Business School, Grande Ecole Program – Master in Management, 2019-2022).

Pricing barrier options with analytical formulas

Pricing barrier options with analytical formulas

Shengyu ZHENG

As is mentioned in the previous post, the frequency of monitoring is one of the determinants of the price of a barrier option. The higher the frequency, the more likely a barrier event would take place.

In this article, Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains the pricing of continuously and discretely monitored barrier options with analytical formulas.

Pricing of standard continuously monitored barrier options

For pricing standard barrier options, we cannot simply apply the Black-Sholes-Merton Formula for the particularity of the barrier conditions. There are, however, several models available developed on top of this theoretical basis. Among them, models developed by Merton (1973), Reiner and Rubinstein (1991) and Rich (1994) enabled the pricing of continuously monitored barrier options to be conducted in a formulaic fashion. They are concisely put together by Haug (1997) as follows:

Knock-in and knock-out barrier option pricing formula

Knock-in barrier option pricing formula

Knock-in barrier option pricing formula

Pricing of standard discretely monitored barrier options

For discretely monitored barrier options, Broadie and Glasserman (1997) derived an adjustment that is applicable on top of the pricing formulas of the continuously monitored counterparts.

Let’s denote:

Knock-in barrier option pricing formula

The price of a discretely monitored barrier option of a certain barrier price equals the price of a continuously monitored barrier option of the adjusted price plus an error:

Knock-in barrier option pricing formula

The adjusted barrier price, in this case, would be:

Knock-in barrier option pricing formula

Knock-in barrier option pricing formula

It is also worth noting that the error term o(·) grows prominently when the barrier approaches the strike price. A threshold of 5% from the strike price should be imposed if this approach is employed for pricing discretely monitored barrier options.

Example of pricing a down-and-out put with R with the formulaic approach

The general setup of economic details of the Down-and-Out Put and related market information is presented as follows:

Knock-in barrier option pricing formula

There are built-in functions in the “derivmkts” library that render directly the prices of barrier options of continuous monitoring, such as calldownin(), callupin(), calldownout(), callupout(), putdownin(), putupin(), putdownout(), and putupout (). By incorporating the adjustment proposed by Broadie and Glasserman (1997), all barrier options of both monitoring methods could be priced in a formulaic way with the following function:

Knock-in barrier option pricing formula

For example, for a down-and-out Put option with the aforementioned parameters, we can use this function to calculate the prices.

Knock-in barrier option pricing formula

For continuous monitoring, we get a price of 0.6264298, and for daily discrete monitoring, we get a price of 0.676141. It makes sense that for a down-and-out put option, a lower frequency of barrier monitoring means less probability of a knock-out event, thus less protection for the seller from extreme downside price trajectories. Therefore, the seller would charge a higher premium for this put option.

Download R file to price barrier options

You can find below an R file (file with txt format) to price barrier options.

Download R file to price barrier options

Why should I be interested in this post?

As one of the most traded but the simplest exotic derivative products, barrier options open an avenue for different applications. They are also very often incorporated in structured products, such as reverse convertibles. It is, therefore, important to understand the elements having an impact on their prices and the closed-form pricing formulas are a good presentation of these elements.

Related posts on the SimTrade blog

   ▶ All posts about options

   ▶ Shengyu ZHENG Barrier options

   ▶ Shengyu ZHENG Pricing barrier options with simulations and sensitivity analysis with Greeks

Useful resources

Academic research articles

Broadie, M., Glasserman P., Kou S. (1997) A Continuity Correction for Discrete Barrier Option. Mathematical Finance, 7:325-349.

Merton, R. (1973) Theory of Rational Option Pricing. The Bell Journal of Economics and Management Science, 4:141-183.

Paixao, T. (2012) A Guide to Structured Products – Reverse Convertible on S&P500

Reiner, E.S., Rubinstein, M. (1991) Breaking down the barriers. Risk Magazine, 4(8), 28–35.

Rich, D. R. (1994) The Mathematical Foundations of Barrier Option-Pricing Theory. Advances in Futures and Options Research: A Research Annual, 7:267-311.

Wang, B., Wang, L. (2011) Pricing Barrier Options using Monte Carlo Methods, Working paper.

Books

Haug, E. (1997) The Complete Guide to Option Pricing. London/New York: McGraw-Hill.

Hull, J. (2006) Options, Futures, and Other Derivatives. Upper Saddle River, N.J: Pearson/Prentice Hall.

About the author

The article was written in July 2022 by Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023).

Barrier options

Barrier options

Shengyu ZHENG

In this article, Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains barrier options which are the most traded exotic options in derivatives markets.

Description

Barrier options are path dependent. Their payoffs are not only a function of the price of the underlying asset relative to the option strike, but also depend on whether the price of the underlying asset reached a certain predefined barrier during the life of the option.

The two most common kinds of barrier options are knock-in (KI) and knock-out (KO) options.

Knock-in (KI) barrier options

KI barrier options are options that are activated only if the underlying asset attains a prespecified barrier level (the “knock-in” event). With the absence of this knock-in event, the payoff remains zero regardless of the trajectory of the price of the underlying asset.

Knock-out (KO) barrier options

KO barrier options are options that are deactivated only if the underlying asset attains a prespecified barrier level (the “knock-out” event). In the presence of this knock-out event, the payoff remains zero regardless of the trajectory of the price of the underlying asset.

Observation

The determination of the occurrence of a barrier event (KI or KO conditions) is essential to the ultimate payoff of the barrier option. In practice, the details of the KI or KO conditions are precisely defined in the contract (called “Confirmations” by the International Swaps and Derivatives Association (ISDA) for over-the counter (OTC) traded options).

Observation period

The observation period denotes the period where a barrier event (KI or KO) can be observed, that is to say, when the price of the underlying asset is monitored. There are three styles of observation period: European style, partial-period American style, and full-period American style.

  • European style: The observation period is only the expiration date of the barrier option.
  • Partial-period American style: The observation period is part of the lifespan of the barrier option.
  • Full-period American style: The observation period spans the whole period from the effective date to the expiration date of the barrier option.

Monitoring method

There are two typical types of monitoring methods in terms of the determination of a knock-in/knock-out event: continuous monitoring and discrete monitoring. The monitoring method is one of the key factors in determining the premium of a barrier option.

  • Continuous monitoring: A knock-in/knock-out event is deemed to take place if, at any time in the observation period, the knock-in/knock-out condition is met.
  • Discrete monitoring: A knock-in/knock-out event is deemed to occur if, at pre-specific times in the observation period, usually the closing time of each trading day, the knock-in/knock-out condition is met.

Barrier Reference Asset

For the most cases, the Barrier Reference Asset is the underlying asset itself. However, if specified in the contract, it can be another asset or index. It can also be other calculatable properties, such as the volatility of the asset. In this case, the methodology of calculating such properties should be clearly defined in the contract.

Rebate

For knock-out options, there could be a rebate. A rebate is an extra feature and it corresponds to the amount that should be paid to the buyer of the knock-out option in case of the occurrence of a knock-out event.

In-out parity relation for barrier options

Analogous to the call-put parity relation for plain vanilla options, there is an in-out parity relation for barrier options stating that a long position in a knock-in option plus a long position in a knock-out option with identical strikes, barriers, monitoring methods and maturity is equivalent to a long position in a comparable vanilla option. It could be stated as follows:

Knock-in knock-out barrier option parity relation

Where K denotes the strike price, T the maturity, and B the barrier level.

It is worth noting that this parity relation is valid only when the two KI and KO options are identical, and there is no rebate in case of a knock-out option.

Basic barrier options

There are four types of basic barrier options traded in the market: up-and-in option, up-and-out option, down-and-in option, and down-and-out option. “Up” and “down” denotes the direction of surpassing the barrier price. “In” and “out” depict the type of barrier condition, i.e. knock-in or knock-out. These four types of barrier features are available for both call and put options.

Up-and-in option

An up-and-in option is a knock-in option whose barrier condition is achieved if the underlying price arrives higher than the barrier level during the observation period.

Figure 1 illustrates the occurrence of an up-and-in barrier event for a barrier option with full-period American style and discrete monitoring (the closing time of each trading day).

Figure 1. Illustration of an up-and-in barrier option
Example of an up-and-in call option

Up-and-out option

An up-and-out option is a knock-out option whose barrier condition is achieved if the underlying price arrives higher than the barrier level during the observation period.

Figure 2. Illustration of an up-and-out option

Example of an up-and-out call option

Down-and-in option

A down-and-in option is a knock-in option whose barrier condition is achieved if the underlying price arrives lower than the barrier level during the observation period.

Figure 3. Illustration of a down-and-in option
Example of a down-and-in call option

Down-and-out option

A down-and-out option is a knock-out option whose barrier condition is achieved if the underlying price arrives lower than the barrier level during the observation period.

Figure 4. Illustration of a down-and-out option
Example of a down-and-out call option

Download R file to price barrier options

You can find below an R file to price barrier options.

Download R file to price barrier options

Trading of barrier options

Being the most popular exotic options, barrier options on stocks or indices have been actively traded in the OTC market since the inception of the market. Unavailable in standard exchanges, they are less accessible than their vanilla counterparts. Barrier options are also commonly utilized in structured products.

Why should I be interested in this post?

As one of the most traded but the simplest exotic derivative products, barrier options open an avenue for different applications. They are also very often incorporated in structured products, such as reverse convertibles. Knock-in/knock out conditions are also common features in other types of more complicated exotic derivative products.

It is, therefore, important to be equipped with knowledge of this product and to understand the pricing logics if one aspires to work in financial markets.

Related posts on the SimTrade blog

   ▶ All posts about options

   ▶ Shengyu ZHENG Pricing barrier options with analytical formulas

   ▶ Shengyu ZHENG Pricing barrier options with simulations and sensitivity analysis with Greeks

References

Academic research articles

Broadie, M., Glasserman P., Kou S. (1997) A Continuity Correction for Discrete Barrier Option. Mathematical Finance, 7:325-349.

Merton, R. (1973) Theory of Rational Option Pricing. The Bell Journal of Economics and Management Science, 4:141-183.

Paixao, T. (2012) A Guide to Structured Products – Reverse Convertible on S&P500

Reiner, E.S., Rubinstein, M. (1991) Breaking down the barriers. Risk Magazine, 4(8), 28–35.

Rich, D. R. (1994) The Mathematical Foundations of Barrier Option-Pricing Theory. Advances in Futures and Options Research: A Research Annual, 7:267-311.

Wang, B., Wang, L. (2011) Pricing Barrier Options using Monte Carlo Methods, Working paper.

Books

Haug, E. (1997) The Complete Guide to Option Pricing. London/New York: McGraw-Hill.

Hull, J. (2006) Options, Futures, and Other Derivatives. Upper Saddle River, N.J: Pearson/Prentice Hall.

About the author

The article was written in July 2022 by Shengyu ZHENG (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023).

Fama-MacBeth two-step regression method

Youssef_Louraoui

In this article, Youssef Louraoui (Bayes Business School, MSc. Energy, Trade & Finance, 2021-2022) presents the Fama-MacBeth two-step regression method used to test asset pricing models.

This article is structured as follow: we introduce the Fama-MacBeth testing method. Then, we present the mathematical foundation that underpins their approach. We conclude with a practical case study followed by a discussion on econometric issues.

Introduction

Risk factors are frequently employed to explain asset returns in asset pricing theories. These risk factors may be macroeconomic (such as consumer inflation or unemployment) or microeconomic (such as firm size or various accounting and financial metrics of the firms). The Fama-MacBeth two-step regression approach a practical way for measuring how correctly these risk factors explain asset or portfolio returns. The aim of the model is to determine the risk premium associated with the exposure to these risk factors.

The first step is to regress the return of every asset against one or more risk factors using a time-series approach. We obtain the return exposure to each factor called the “betas” or the “factor exposures” or the “factor loadings”.

The second step is to regress the returns of all assets against the asset betas obtained in Step 1 using a cross-section approach. We obtain the risk premium for each factor. Then, Fama and MacBeth assess the expected premium over time for a unit exposure to each risk factor by averaging these coefficients once for each element.

Mathematical foundations

We describe below the mathematical foundations for the Fama-MacBeth two-step regression method.

Step 1: time-series analysis of returns

The model considers the following inputs:

  • The return of N assets denoted by Ri for asset i observed over the time period [0, T].
  • The risk factors denoted by F1 for the market factor influencing the asset returns.

For each asset i from 1 to N, we estimate the following parameters:

img_SimTrade_Fama_MacBeth_time_series

From this model, we obtain a series of coefficients: αi which is the risk premium for asset i and the βi, F1 associated to the market risk factor.

Figure 1 represents for a given asset the regression of a return with respect to the market factor (as in the CAPM). The slope of the regression line corresponds to the market beta of the regression.

Figure 1 Time-series regression.
 Time-series regression Source : computation by the author.

The econometric issues (estimation bias, heteroscedasticity, and autocorrelation) related to the model are discussed in more details in the econometric limitation section.

Step 2: cross-sectional analysis of returns

For each period t from 1 to T, we estimate the following linear regression model:

img_SimTrade_Fama_MacBeth_cross_section

Figure 2 plots for a given period the cross-sectional returns and betas for a given point in time.

Figure 2 represents for a given period the regression of the return of all individual assets with respect to their estimated individual market beta.

Figure 2. Cross-sectional regression.
 Time-series regression Source: computation by the author.

We average the gamma obtained for each data point. This is the way the Fama-MacBeth method is used to test asset pricing models.

Empirical study by Fama and MacBeth (1973)

Fama-MacBeth performed a second time the cross-sectional regression of monthly stock returns on the equity betas computed on the initial workings to account for the dynamic nature of stock returns, which help to compute a robust standard error to gauge the level of error and assess if there is any heteroscedasticity in the regression. The conclusion of the seminal paper suggests that the beta is “dead”, in the sense that it cannot explain returns on its own (Fama and MacBeth, 1973).

New empirical study

We downloaded a sample of end-of-month stock prices of large firms in the US economy over the period from March 31, 2016, to March 31, 2022. We computed monthly returns. To represent the market, we chose the S&P500 index.

We then applied the Fama-MacBeth two-step regression method to test the market factor (CAPM).

Figure 3 depicts the computation of average returns and the betas and stock in the analysis.

Figure 3. Computation of average returns and betas of the stocks.
img_SimTrade_Fama_MacBeth_method_4 Source: computation by the author.

Figure 4 represents the first step of the Fama-MacBeth regression. We regress the average returns for each stock with their respective betas.

Figure 4. Step 1 of the regression: Time-series analysis of returns
img_SimTrade_Fama_MacBeth_method_1 Source: computation by the author.

The initial regression is statistically evaluated. To describe the behaviour of the regression, we employ a t-statistic. Since the p-value is in the rejection area (less than the significance limit of 5 percent), we can deduce that the market factor can at first explain the returns of an investor. However, as we are going deal in the later in the article, when we account for a second regression as formulated by Fama and MacBeth, the market factor is not capable of explaining on its own the return of asset returns.

Figure 5 represents Step 2 of the Fama-MacBeth regression, where we perform for a given data point a regression of all individual stock returns with their respective estimated market beta.

Figure 5. Step 2: cross-sectional analysis of return.
img_SimTrade_Fama_MacBeth_method_2 Source : computation by the author.

Figure 6 represents the hypothesis testing for the cross-sectional regression. From the results obtained, we can clearly see that the p-value is not in the rejection area (at a 5% significance level), hence we cannot reject the null hypothesis. This means that the market factor fails to explain properly the behaviour of asset returns, which undermines the validity of the CAPM framework. These results are in line with the Fama-MacBeth paper (1973).

Figure 6. Hypothesis testing of the cross-sectional regression.
img_SimTrade_Fama_MacBeth_method_1 Source: computation by the author.

Excel file for the Fama-MacBeth two-step regression method

You can find below the Excel spreadsheet that complements the explanations covered in this article to apply the Fama-MacBeth two-step regression method.

 Download the Excel file to perform a Fama-MacBeth two-step regression method

Econometric issues

Errors in data measurement

Because regression uses a sample instead of the entire population, a certain margin of error must be accounted for since the authors derive estimated betas for the sample.

Asset return heteroscedasticity

In econometrics, heteroscedasticity is an important concern since it results in unequal residual variance. This indicates that a time series exhibiting some heteroscedasticity has a non-constant variance, which renders forecasting ineffective because the time series will not revert to its long-run mean.

Asset return autocorrelation

Standard errors in Fama-MacBeth regressions are solely corrected for cross-sectional correlation. This method does not fix the standard errors for time-series autocorrelation. This is typically not a concern for stock trading, as daily and weekly holding periods have modest time-series autocorrelation, whereas autocorrelation is larger over long horizons. This suggests that Fama-MacBeth regression may not be applicable in many corporate finance contexts where project holding durations are typically lengthy.

Limitation of CAPM

Roll: selection of the appropriate market index

For the CAPM to be valid, we need to determine if the market portfolio is in the Markowitz efficient curve. According to Roll (1977), the market portfolio is not observable because it cannot capture all the asset classes (human capital, art, and real estate among others). He then believes that the returns cannot be captured effectively and hence makes the market portfolio, not a reliable factor in determining its efficiency.

Furthermore, the coefficients are sensitive to the market index chosen for the study. These shortcomings must be taken into account when assessing other CAPM studies.

Fama-MacBeth: Stability of the coefficients

The stability of the beta across time is difficult. Fama-MacBeth attempted to address this shortcoming by implementing its innovative approach. However, some points need to be addressed:

When betas are computed using a monthly time series, the statistical noise of the time series is considerably reduced as opposed to shorter time frames (i.e., daily observation).

Constructing portfolio betas makes the coefficient much more stable than when assessing individual betas. This is due to the diversification effect that a portfolio can achieve, reducing considerably the amount of specific risk.

Why should I be interested in this post?

Fama-MacBeth made a significant contribution to the field of econometrics. Their findings cleared the way for asset pricing theory to gain traction in academic literature. The Capital Asset Pricing Model (CAPM) is far too simplistic for a real-world scenario since the market factor is not the only source that drives returns; asset return is generated from a range of factors, each of which influences the overall return. This framework helps in capturing other sources of return.

Related posts on the SimTrade blog

▶ Jayati WALIA Capital Asset Pricing Model (CAPM)

▶ Youssef LOURAOUI Security Market Line (SML)

▶ Youssef LOURAOUI Origin of factor investing

▶ Youssef LOURAOUI Factor Investing

Useful resources

Academic research

Brooks, C., 2019. Introductory Econometrics for Finance (4th ed.). Cambridge: Cambridge University Press. doi:10.1017/9781108524872

Fama, E. F., MacBeth, J. D., 1973. Risk, Return, and Equilibrium: Empirical Tests. Journal of Political Economy, 81(3), 607–636.

Roll R., 1977. A critique of the Asset Pricing Theory’s test, Part I: On Past and Potential Testability of the Theory. Journal of Financial Economics, 1, 129-176.

American Finance Association & Journal of Finance (2008) Masters of Finance: Eugene Fama (YouTube video)

Business Analysis

NEDL. 2022. Fama-MacBeth regression explained: calculating risk premia (Excel). [online] Available at: [Accessed 29 May 2022].

About the author

The article was written in May 2022 by Youssef LOURAOUI (Bayes Business School, MSc. Energy, Trade & Finance, 2021-2022).

Introduction to Hedge Funds

Youssef_Louraoui

In this article, Youssef LOURAOUI (Bayes Business School, MSc. Energy, Trade & Finance, 2021-2022) elaborates on the concept of Hedge Funds. Hedge funds are a type of asset class that differs from standard fixed-income and equities investments in terms of risk/return profile.

The structure of this article is as follows: First, we will define a hedge fund. Second, we provide a historical perspective on the first known hedge fund. Third, we will discuss hedge fund fees. Fourth, we discuss the conventional long-short strategy and provide an overview of the major hedge fund strategies. And finally, we end by discussing the economic importance of hedge funds.

Introduction

There is no straightforward definition of a hedge fund. Simply said, a hedge fund is an investment vehicle that aims to create performance by employing a variety of complex trading strategies. When the first hedge fund was introduced, the term “hedge” referred to lowering risk by investing in both long and short positions at the same time.

Hedge funds are exempted from the financial regulations that apply to other investment vehicles such as mutual funds. On the one hand, hedge funds have a lot of freedom to implement their investment strategy and face minimal disclosure rules. Hedge funds have the freedom to utilize leverage using derivatives products. On the other hand, hedge funds are restricted in the way they raise money from investors. Hedge fund investors must be “accredited investors,” which means they must have a particular amount of financial wealth and/or financial education to invest. Hedge funds have also been subject to a non-solicitation restriction, which means they are not allowed to advertise or aggressively seek individuals for investment.

According to the Security Exchange Commission (SEC, ), the governmental branch for regulated financial markets in the US, a hedge fund can be defined as follows:

“Hedge fund’ is a general, non-legal term used to describe private, unregistered investment pools that traditionally have been limited to sophisticated, wealthy investors. Hedge funds are not mutual funds and, as such, are not subject to the numerous regulations that apply to mutual funds for the protection of investors – including regulations requiring a certain degree of liquidity, regulations requiring that mutual fund shares be redeemable at any time, regulations protecting against conflicts of interest, regulations to assure fairness in the pricing of fund shares, disclosure regulations, regulations limiting the use of leverage, and more.” (SEC)

The first hedge fund: Jones

In 1949, Alfred Winslow Jones is said to have founded the first professional hedge fund and is regarded as the “father of the hedge fund industry”. He set up the fund as a limited partnership, with the hedge fund manager providing significant initial capital and a few significant investors. The fund’s principal strategy was to use a long/short method, the fund being long on undervalued securities and short on overvalued securities. Jones based his investment approach on stock picking (he believed he lacked market timing skills). Hedge funds’ main idea is that they can use leverage to boost returns in both directions.

From 1955 to 1965, Jones is reported to have achieved a 670% return on his hedge fund by taking both long and short positions. Before Jones, short selling had been popular for a long time, but he realized that by balancing long and short positions, he could be relatively immune to overall market changes while benefiting from the relative outperformance of his long positions against his short positions. The performance of Jones’s fund is shown in Figure 1 about the Dow Jones Industrials index used as a benchmark and Fidelity’s highest performing mutual fund. Over the 1960-65 period, the fund managed to multiply its return by a factor of four, which is higher than the best performing mutual fund (Fidelity Trend Fund) and the Dow-Jones industrials.

Figure 1. Alfred Winslow Jones’s hedge fund performance between 1960-65.
img_SimTrade_jones_performance
Source: “The Jones Nobody Keeps Up With” (Fortune, 1966).

Development of hedge funds

Interest in hedge funds grew after Fortune magazine published Jones’s results in 1966, and the Securities and Exchange Commission (SEC) listed 140 hedge funds in 1968. As institutional investors began to embrace hedge funds in the 1990s, the hedge fund industry saw a huge spike in interest. Hedge funds with billions of dollars under management were typical in the 2000s, with total hedge fund assets reaching a peak of nearly $2 trillion before the global financial crisis of 2008, dropping during the crisis, and recently reached a new peak.

Hedge funds’ aggregate positions are much larger than their assets under management due to their leverage, and their trading volume is a much larger part of the aggregate trading volume than their relative position sizes due to their high turnover, so hedge fund trading now accounts for a significant portion of all trading. Given a limited demand for liquidity, there is a limited amount of profit to be made and a limited requirement for active investment in an optimally inefficient market, the quantity of capital committed to hedge funds cannot keep expanding.

Hedge funds fees

Among the most frequent fees in the hedge fund industry, we can name the following:

Management fee

Management fee represents the fees that the hedge funds collect to run their operations (salaries, infrastructure, etc.). The management fee is usually about 3%

Performance fee

The performance fee is a compensation when the hedge fund achieves a certain level of performance. This threshold, called the hurdle rate, represents the minimum performance that a hedge fund has to achieve to charge an incentive fee. This motivates the hedge fund manager to perform and to align its interest with its clients’ interests. Beyond the hurdle rate, the outperformance is shared between the hedge fund manager (20%) and the clients (80%).

The high water mark (HWM) provision is a mechanism where the hedge fund will only charge performance fees if it manages to deliver returns above the returns of the previous period. If the hedge fund is down 50%, the performance achieved to recover the losses (100% won’t be subject to performance fees). Only after recovering entirely from the drawdown, the hedge fund can be entitled to earn the performance fee.

A classic hedge fund strategy: the long-short strategy

The long-short strategy is the strategy implemented by the first hedge fund (Alfred Winslow Jones fund). According to Credit Suisse, long-short equity funds engage in both the long and short sides of the equity markets, to diversify or hedge across sectors, regions, and market capitalizations. Managers can switch from value to growth, from small to medium to large capitalization equities, and from net long to net short positions. Managers can also trade stock futures and options, as well as equity-related instruments and debt, and form more concentrated portfolios than classic long-only equity funds.

To illustrate a long-short strategy, we create a hedge fund portfolio based on two stocks from the US equity market. We pick one overvalued stock and one undervalued stock based on their price-to-earnings (P/E) ratio. We chose for this purpose Twitter (overvalued) and Pfizer (undervalued). We download a time series of three-month worth of data for two stocks (Twitter and Pfizer) and the S&P500 index.

Figure 2 represents the regression of the returns of the simulated hedge fund portfolio on the S&P500 index. We can appreciate a null slope (0.0936) of the regression indicating the low correlation of the hedge fund with the market represented by the S&P500 index. This strategy is market-neutral, meaning that the portfolio is not correlated directly with the market fluctuations. The performance of a zero-beta portfolio would be derived from the alpha, a key metric in the portfolio management industry.

Figure 2. Regression of the hedge fund return on the S&P500 market index.
Hedge fund portfolio regression
Source: computation by the author (data: Bloomberg).

We compute the return and volatility of each security and the market index as a starting point. We also determine the correlation of the stocks to the market index. For the short position (Twitter), the sign of the correlation inverts of the sign. We compute an equally-weighted portfolio composed of two stocks: a long position on Pfizer and a short position on Twitter. This portfolio delivered a return of 0.27%, which is better than the broader stock index return over the same period (-0.22%).

Figure 3 depicts the return of the hedge fund portfolio relative to the market index return. From the analysis, the long-short strategy managed to outperform the S&P500 market index by 49 basis points. Even if the market is in a bearish setting, the strategy managed to deliver positive returns as the short position helps to be uncorrelated the return of the hedge fund from the market return.

Figure 3. Return of the hedge fund relative to the S&P500 market index.
Long short strategy performance
Source: computation by the author (data: Bloomberg).

You can download below the Excel file below which gives the details of the computation of the long-short strategy example.

Excel file for the long-short startegy example

Hedge fund role in economy

Hedge funds, for example, are frequently criticized in the media. Companies, for example, dislike seeing their shares shorted because it indicates a belief that the company’s share price will fall. Short sellers, including hedge funds, are sometimes blamed for a company’s problems, even though the stock price is usually falling due to the company’s poor financial condition, not because of any other source.

Hedge funds, in general, serve several important functions in the economy. First, they improve market efficiency by gathering information about businesses and incorporating it into prices through their trades. Because the capital market is the tool used to allocate resources in the economy, increased efficiency can improve real economic outcomes. Companies with good growth prospects see their share prices rise when markets are efficient, allowing them to raise capital and fund new projects. Companies that produce goods and services that are no longer required to see their share prices fall and the factories may be repurposed for more productive purposes, possibly leading to a merger. Furthermore, when share prices reflect more information and are more efficient, CEO decisions may improve, and they may be more prudent if active investors are monitoring them. Hedge funds also serve as a source of liquidity for other investors who need to buy or sell (e.g., to smooth out their consumption), hedge or buy insurance, or simply enjoy certain types of securities. Finally, hedge funds offer investors another source to diversify their returns.

Why should I be interested in this post?

As an investor, hedge funds may provide an opportunity to diversify its global portfolios. Including hedge funds in a portfolio can help investors obtain absolute returns that are uncorrelated with typical bond/equity returns.

For practitioners, learning how to incorporate hedge funds into a standard portfolio and understanding the risks associated with hedge fund investing can be beneficial.

Understanding if hedge funds are truly providing “excess returns” and deconstructing the sources of return can be beneficial to academics. Another challenge is determining whether there is any “performance persistence” in hedge fund returns.

Getting a job at a hedge fund might be a profitable career path for students. Understanding the market, the players, the strategies, and the industry’s current trends can help you gain a job as a hedge fund analyst or simply enhance your knowledge of another asset class.

Useful resources

Academic research

Pedersen, L. H., 2015. Efficiently Inefficient: How Smart Money Invests and Market Prices Are Determined. Princeton University Press.

Business Analysis

Wikipedia Alfred Winslow Jones

Fortune (2015) The Jones Nobody Keeps Up With (Fortune, 1966).

SEC Mutual Funds and Exchange-Traded Funds (ETFs) – A Guide for Investors.

SEC Selected Definitions of “Hedge Fund”

Credit Suisse Hedge fund strategy

Credit Suisse Hedge fund performance

Credit Suisse Long-short strategy

Credit Suisse Long-short performance benchmark

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About the author

The article was written in June 2022 by Youssef LOURAOUI (Bayes Business School, MSc. Energy, Trade & Finance, 2021-2022).

A quick presentation of the Asset Management field…

A quick presentation of the Asset Management field…

Louis DETALLE

In this article, Louis DETALLE (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains what does an Asset Management company consists in.

What does Asset Management consist in?

Asset management is a financial activity whose objective is to create, manage, grow and maximize the benefits of financial products or investments entrusted by companies or individual investors. Asset management therefore consists in managing a client portfolio and increasing its profitability by balancing expected returns and risks in order to achieve previously defined objectives.

When thinking about asset management, companies such as Allianz, Amundi, AVIVA or Natixis Investment Managers could be quoted as examples of Asset Management companies.

What are the main clients of Asset Managers?

The main clients of asset management companies are :

– Companies wishing to invest their cash surpluses;
– Pension funds and mutual insurance companies;
– Financial institutions investing for their own account;
– Banks and insurance companies that distribute financial products to their clients (retail, private and corporate banking).

Two main types of management

Management under mandate

The company manages the account of a single client or a group of clients who have delegated the management of the fund to it. All of the fund’s assets belong to one person or to a small number of people,

Collective management

A fund with a large number of investors and units. It is managed according to the same strategic orientation corresponding to the profile adapted to these investors.

What does an asset manager work on?

The day-to-day work consists mainly of assessing how the previous day’s transactions and market movements have affected the portfolio’s risk profile in terms of liquidity, credit and market.

Another key aspect of this job is the development, adaptation and improvement of quantitative portfolio risk analysis tools. Other tools to assist investment decisions, to monitor developments in financial research in terms of risk and to analyze macroeconomic news require more specific attention and are therefore more complex to implement.

Useful resources

Thinking ahead Institute The world’s largest asset managers – 2021

Related posts on the SimTrade blog

Understand the importance of data providers and how they influence global finance…

About the author

The article was written in May 2022 by Louis DETALLE (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023).

Reuters

Reuters

Louis DETALLE

In this article, Louis DETALLE (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains everything there is to know about Reuters, the international giant in the data-providing market…

Quick presentation of the company

Thomson Reuters is a leading provider of business information services. As one of the main competitors of Bloomberg, their products include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news service – Reuters.

Reuters is organized in 5 different business units:

Legal Professionals: This business unit serves law firms and governments with research products, focusing on intuitive legal research powered by emerging technologies and integrated legal workflow solutions that combine content, tools and analytics.

Corporates: Designed for corporate customers from small businesses to multinational organizations, this business unit provides its clients with a full suite of content-enabled technology solutions for in-house legal, tax, regulatory, compliance and IT professionals.

Tax & Accounting Professionals: This business provides its customers with research that focuses on intuitive tax offerings and automating tax workflows.

Reuters News: Supplies business, financial and global news to the world’s media organizations, professionals and news consumers through their many platforms.

Global Print: Provides legal and tax information primarily in print format to customers around the world.

Type of people working at Bloomberg (types of jobs)

Nearly 2/3 of Reuters’ employees work in the US, the remaining third working in Asia and in Europe. The careers available at Reuters are therefore numerous and very diverse.

Indeed, the profiles needed by Reuters consists in legal professionals, corporate professionals, tax & accounting professionals and journalists. Thomson Reuters also employs many software designers to help design the Reuters’ terminals, as well as sectorial legal and corporate specialists in order to provide precise and adequate analysis.

Main competitors

As Thomson Reuters’ activities are very diverse, we will classify the main competitors of the firm in respect to the activities.

For Thomson Reuters’ business that consists of software-design, Bloomberg LLP is the most natural competitor in this space with its very famous Bloomber Terminal. The terminal business is built on a fantastic technology platform that provides comprehensive financial information. There are other competitors, such as Dow Jones Industrial Average FX Trader, which have specialized in one type of industry whereas Reuters and Bloomberg remain generalists.

Reuters’ editorial branch’s main competitors would be Bloomberg News, the Financial Times (FT), the Wall Street Journal, and other traditional financial news companies. The same goes for their TV/radio operation (their competitor would be CNBC).

Use of data in financial markets

The explosion of financial data, enabled by the Internet tremendous potential, caused an explosion of demand for financial data. As evidenced in 2006 by the British mathematician and Tesco marketing mastermind Clive Humby’s quote, “Data is the new oil”, the data market seems to be limitless.

In addition, as Bloomberg acquires many of his competitors, such as BNA and BusinessWeek, this contributes to curbing the number of data providers and improving the monopoly of Bloomberg on the data-providing market. Reuters struggles to keep up the pace of its competitor which is very well established in this market.

Useful resources

Bloomberg

Reuters

Related posts on the SimTrade blog

   ▶ Louis DETALLE Understand the importance of data providers and how they influence global finance…

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About the author

The article was written in March 2022 by Louis DETALLE (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023).

Branding and marketing in the financial services sector

Branding and marketing in the financial services sector

Samantha MARCUS Branding and Marketing in Financial Services

In this article, Samantha MARCUS (ESSEC Business School, Semester Exchange BBA, 2022) explains the changes and trends in branding and marketing in the financial services sector.

While generally overlooked, the messaging and branding of a financial institution is becoming increasingly more important, and financial institutions are facing pressure to act.

Financial service marketing uses various strategies and branding techniques to drive awareness and create brand loyalty. Unlike traditional tangible products, financial service providers must plant their brand in their consumers’ mind in any way they can because it is generally not a tangible product they are selling. The customer experience is extremely important in the financial services sector, and this is where branding and marketing play in. While the marketing approaches of financial products is oftentimes different than that of retail or consumer packaged goods, the marketing of financial services primarily utilizes two methods: traditional marketing and digital marketing

Traditional marketing

In the past, financial institutions have relied on marketing tactics such as word of mouth advertising, TV ads, radio and print marketing. As the consumer in the financial services sector is changing, these tactics are not as effective in this industry as they once were.

Digital marketing

In 2022, financial service providers are being pushed to step up their digital marketing efforts. Whether it’s through optimizing your firm’s SEO, creating more personalized algorithms or being active on social media platforms, there are various efforts in digital marketing happening in the financial services industry. The financial services sector is leaning more into digital marketing and this strategy is beginning to show more returns in terms of reaching new consumers and driving brand loyalty.

Why are branding and marketing important in financial services?

Retail banks, investment banks, brokerages, credit card companies, and many more financial service institutions can benefit from branding and marketing. Now more than ever, the younger generations are not trusting financial service institutions with about 92% of millennials claiming they do not trust banks at all (Financeography.com, 2016). Branding and marketing in this sector are so important as they can build this trust with consumers. Traditionally, financial service providers did not have to focus as much on branding and marketing because their services were deemed a necessity and consumers would normally approach them. This is all changing now for a variety of reasons that make this outdated mindset ineffective and dangerous. One of the largest reasons that it’s important for financial service providers to utilize marketing is the commoditization of financial products; standardization has made it harder for providers to differentiate their products as there are now more options than ever before. In addition, disruptive financial technology (like blockchains/cryptos) is changing the financial services sector and decentralizing the control, therefore marketing and grasping consumer awareness is more vital than ever. Lastly, as our world becomes increasingly more digitized, consumers are expecting personalized, digitized experiences regardless of the industry.

Trends for financial services marketing

The Rise of Personalization

As the financial service industry becomes increasingly more saturated and decentralized, personalization within marketing strategies offers a way for firms to differentiate themselves and shift the focus to a customer centric approach. Traditionally, banking and financial services have been more focused on their products rather than their consumers, however this is all changing. As within any marketing approach, when financial service providers have a grasp on their audience and demographic, they are better able to appeal to the wants and needs of this consumer and it even begins to become part of their brand. This approach is becoming increasingly more popular, and it helps create more personalized relationships which facilitate customer loyalty which is crucial in the financial services industry.

Digitalization

As there is an emphasis on mobile technology and e-commerce now more than ever, firms are adjusting their marketing strategies to be more digitalized and more customer centric as mentioned above. Many consumers now prefer to manage their finances online, so it only makes sense that digitalization is a priority. Consumers want to manage their money, pay their bills, and buy the things that they need to on their own terms, so it is important that financial brands message this in their marketing strategies as well as process the right technology to cater to this need. Whether it is through marketing techniques such as pay-per-click advertising, email marketing, search engine optimization or activity on social media, financial institutions must push to develop their brand online in order to be noticed amongst competitors.

Intriguing social media content

In the financial service industry, creating impactful content is now being discussed. Video content can be utilized as a great marketing took and form of content as firms can utilize videos to create video courses or webinars to help their target audience understand their products and the more complex financial concepts. It is also a trend to utilize content by showing in your social media posts your firms services and your specialties.

Using personal stories to build a brand

Since the modern consumer has changed especially in the financial sector, product-focused, cold, and impersonal branding does not cut it anymore. Consumers are less trusting of financial service providers so financial brands must find a way to capture their consumer’s attention and create a brand that they trust. While traditionally financial services did not place much emphasis on the human element, there is increasing pressure for financial brands to let this side shine through in their marketing. Is there an interesting story within your company? Is there a personable employee to tell a compelling finance story or explain events in the industry? The question is now: how can a firm use marketing to create trust with their consumers?

Key concepts

Branding

Branding is the personality of a brand. Branding can include everything from your logo to your mission statement; branding is how you define your business. Branding goes beyond just the color of your website or the style of your font, but rather it is how you tell a story and how you draw the attention of your target audience. Branding is how you make a connection with your target customers.

Marketing

While oftentimes people get branding and marketing get confused, there are fundamental differences between the two. Marketing is how a company positions their product based on their brand strategy. Marketing identifies a target market, uses the optimal tactics and segment markets to win over a bigger market share. Branding is all about knowing your company’s story while marketing is more focused on knowing who your target customers are.

Relevance to SimTrade Certificate

The SimTrade certificate allows students to increase their knowledge of financial markets, but it is also important to look at the business behind how financial institutions are able to thrive. Marketing and branding are a large part in this and how firms stay competitive.

Final thoughts

Marketing in financial institutions’ sector is very interesting because it is a quickly evolving area and institutions are experiencing pressure to act in order to sustain their businesses and keep their customers. Financial service marketing is so different from what we know as traditional marketing and advertising as it is not a tangible product, but it is peoples’ financials and essentially their life; this adds a lot of importance on winning over consumers loyalty and trust. As the modern consumer has more options now than ever before, financial firms are placing more importance on marketing and shifting their strategies from a product-obsessed mindset to a customer-focused mindset. Financial firms and their marketing teams must look into getting the right marketing technology to support their consumer centric marketing initiatives. There is so much opportunity to build trustworthy brands and improve customer’s experience through carefully crafted messaging and the right technology. The correct marketing provides a unique opportunity for financial institutions to differentiate themselves in this evolving marketing.

Related posts on the SimTrade blog

▶ Cynthia LIN Financial products marketing in neobanks

▶Ashima MALIK Financial products marketing

Useful resources

Academic books

Heding, T., Knudtzen, C. F., & Bjerre, M. (2009). Brand management: Research, theory and practice. Routledge.

Kapferer, J. N. (2012). The new strategic brand management: Advanced insights and strategic thinking. Kogan Page Publishers.

Business resources

Financeography.com (November 30, 2016) 92% of Millennials Do Not Trust Financial Institutions with Money Matters

O8 Agency for Marketing Financial Services Marketing: Everything You Need to Know

Templafy blog Industry Branding Series: Branding Financial Services

Purpose brand A corporate ESG content strategy puts brands at a competitive advantage.

About the author

The article was written in May 2022 by Samantha MARCUS (ESSEC Business School, Semester Exchange BBA, 2022).