Social trading

Social trading

Daksh GARG

In this article, Daksh GARG (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2021) explains how social networks and online communities have led to emergence of new way of trading called social trading. This article answers the following questions: What is social trading? What are the platforms on which social trading is being done? And what are some of the potential disadvantages of putting your money and following the trend of social trading?

What is social trading?

Social trading in the stock market uses the wisdom of the online community to develop strategies and portfolios that best fit the investment needs of the community members.

Social trading is security trading on a digital platform where investors derive their investment decisions from information or signals provided by other traders in the community. Social trading enables experienced retail investors to share their investments strategies or portfolios with the online community. It provides the opportunity to observe the ideas and to discuss, comment or even copy them. The concept of social trading combines the investment ideas of traders with a leader follower principle. The star traders are called signal providers. They share their investment ideas with the online community. Members of the community execute their strategies and portfolios in a real money account or in a virtual account where no real funds are at risk. This is illustrated in Figure 1.

Figure 1. Social trading: interaction between the experienced trader and social traders.

Social trading

Source: IG

What do you need to know before you start social trading?

Social trading has removed the barriers to financial inclusion, but it is also said to downplay a lot of the knowledge required to negotiate in financial markets. One of the largest faults a social trader can make is thinking it is risk free. All trading involves risk, and traders are likely to make a loss at one point or another. The idea of trusting a judgement of third person – while retaining all the risk of loss – is seen as a large drawback of social trading. Financial markets require knowledge and patience, and social trading can potentially help you skip a few steps, but it does so at the expense of experience. You might take on some other persons, but you implement plan should be unique to you and your aims. Although the strategies of others can be used to create some guidance for your trades, their plans will be suited to their own goal. Each individual perceives risk differently so, so trading the way someone else would isn’t always necessarily a good idea.

How to get started with social trading?

Select a social trading platform/broker

There are a lot of different platforms available in the market. But make sure the platform provides all of the functions you want to enable you to utilize it successfully and is trustworthy.

Select and research the traders you want to learn and copy from

The platforms will provide you with recommendations of traders that you can copy and learn from, but it is essential to do your own research. Research the markets they trade, the strategies they use and the risk parameters. Do your due diligence.

Allocate a set amount to each trader

Allocate a portion of your capital to each trader you follow. Think of this as your risk management. You will have researched the trader you are tracking, and now it’s about diversifying your investment into each trader. For traders with a high-risk strategy, you may want to allocate less money to traders with a lower risk strategy.

Figure 2 gives some of the popular social trading platforms emerged in past few years.

Figure 2. Popular social trading platforms.

Social trading platforms

Source: www.diaman.eu/blog

Why should I be interested in this post?

Investing in financial markets such as stocks, foreign exchange (forex) and cryptocurrencies requires extensive knowledge and experience. You need to be up to date with news events affecting the business world, and also have the capability of reading charts, analytics reports and understand trends. If you lack this capacity, chances are you may lose your money in the market. Social trading platforms might come in handy in this phenomenon, but you should always be careful and aware of the risks. This article provides a good introduction who is starting their journey in social trading.

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Useful resources

IG Social trading explained Accessed November 2, 2021.

CMC markets Social trading Accessed November 2, 2021.

About the author

The article was written in November 2021 by Daksh GARG (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2021).

Use of AI in investment banking

Use of AI in investment banking

Daksh GARG

In this article, Daksh GARG (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2021) explains how the use of AI is transforming the investment banking industry.

What is artificial intelligence?

Artificial intelligence (AI) generally refers to the ability of machines to exhibit human-like intelligence and a degree of autonomous learning. An example could be training machines to recognize patterns and solve complex problems by analyzing those patterns.

Recently there has been a push to work with AI in the investment industry. The conditions to do so are optimal now, or at least more so than in the past. There have great leaps in computer processing abilities, allowing the cost of quality processing tech to decrease. There has also been a sharp increase in the availability of accessible data, which AI can use as needed. This has led to AI being cost effective enough to be used in carrying out investment guidance and analysis.

When can AI add value?

There have been several implementations of AI across the broad spectrum of investment banking , and the rapid pace of adoption paves the way for greater efficiencies in almost all departments and functions. AI has the potential to completely transform the competitive dynamics given its indispensability in investment banking. Much like a chain reaction, investment banks will adopt AI if even one of their peers adopts it, and they already have. This will keep going until all of them rely on the accuracy and effectiveness of AI in their daily trade and investment making decisions. By its very nature, investment banking is a highly competitive industry, and intelligent tools can augment every facet from trade processing to defining structured products and projecting returns on capital, simulating market conditions to support accurate and fast decision making, to even improving the customer experience. AI will also enhance back-office functions, ensuring quicker and easier settlements with minimal human error.

Figure 1. Use of Artificial intelligence / Machine learning AI/ML deployment across various components of financial services industry.

Use of AI/ML in  financial services industry.

Source: Refinitiv AI/ML survey August 2020

Some current use cases

There are several use cases already being adopted for use of AI and ML in the financial services industry. Some of the prominent examples of companies using AI are:

ING

ING leverages the power of AI to empower bond traders make faster and more accurate pricing decisions, with Katana, an AI tool that uses predictive analytics to ensure traders are quoting the right price when buying and selling bonds for their clients, based entirely on historic and real-time streaming data.

Barclays

The UK investment bank takes its AI initiatives very seriously, with the whole subsidiary dedicated to making the investment bank’s vision of becoming “the most AI savvy workforce in the UK” come true. Payments and trade decisions for their short term structured products are handled by their in-house AI.

UBS

UBS uses machine learning and neural networks for facilitating accurate decision making of its traders on the floor, including the allocation of funds and analyzing real time data to enhance the performance of its high performing traders.

JP Morgan Chase

The American investment banking giant is using AI to interpret loan agreements. As a part of its AI agenda, its now famous Contract Intelligence AI system saved 360,000 hours of mundane work, interpreting and recording contract clauses, freeing up support staff to focus on high value delivery.

Figure 2. Potential use cases of AI in various components of investment banking.

Potential use cases of AI in various components of investment banking

Source: Refinitiv AI/ML survey August 2020

The challenges towards wide-spread adoption of AI in investment baking

We cannot assume that AI will replace analysts anytime soon. There are a lot of nuanced human interactions and decisions for the machines to acquire at their current development phase. At this stage in the AI managing processes, leading analysis, and making judgment calls can be very dangerous. Like humans, the machines have to follow training for some time before performing as they are designed. Human supervision on these systems will be essential. After the collapse of many banks in 2008 there has been a wide spread adoption of AI. We are talking about more effective gathering data, from hours to mere seconds. Artificial Intelligence enables investment bankers to focus more on the transactions rather than the immense piles of hard work. There are certain costs towards adoption and a potential job loss also. In 2000, Goldman Sachs’ cash equities trading desk was holding 600 traders. Today, only two traders are left on the desk with machines doing the heavy lifting of the work.

Conclusion

Banks are automating their processes day by day. Despite the increasing and better application of AI in banking and financial industry contributing towards innovation, its adoption in the industry is still at the stage of infancy. Low level of maturity, infrastructure, reluctant industry adoption, increased technical complexity and high costs are the major reasons preventing financial services firms for large scale adoption. But this would change in future.

Why should I be interested in this post?

Artificial Intelligence is emerging in the digital era that we know now, expected to be the next big thing. This article shows the benefits and challenges of AI in the investment banking industry.

Useful resources

McKinsey (19/09/2020) AI-bank of the future: Can banks meet the AI challenge? Accessed November 2, 2021.

Forbes (31/10/2020) The State Of AI Adoption In Financial Services Accessed November 2, 2021.

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About the author

The article was written in November 2021 by Daksh GARG (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2021).

Rise of SPAC investments as a medium of raising capital

Rise of SPAC investments as a medium of raising capital

Daksh GARG

In this article, Daksh GARG (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2021) talks about the rise of SPAC investments as a medium of raising capital. Imagine someone famous asking you to invest in a company. Chances are, you will want to know more. As it turns out, there is no company, at least not yet. Will you invest in it with your money?

What are SPACs?

‘SPAC’ stands for Special Purpose Acquisition Companies. SPACs are a type of blank-check company that pools funds to finance mergers and acquisitions (M&A) transactions.

Once shunned by investors, SPACs have become an increasingly popular method in recent years to list companies on a stock exchange.

SPACs are shell companies with no actual commercial operations but are created solely for raising capital through an initial public offering – or IPO – to acquire later a private company. This is done by selling common stocks – with shares commonly sold at $10 a piece – and a warrant, which gives investors the preference to buy more stocks later at a fixed price.

Once the funds are raised, they will be kept in a trust until one of two things happen:

    The management team of the SPAC — also known as sponsors — identifies a company of interest, which will then be taken public through an acquisition, using the capital raised in the SPAC IPO.

    If the SPAC fails to merge or acquire a company within a deadline typically two years — the SPAC will be liquidated, and investors will get their money back.

SPACs have existed in one form or another as early as the 1990s, typically as a last resort for smaller companies to go public. The number of SPAC IPOs has waxed and waned over the years in tandem with the economic cycles. SPACs have been making a resurgence of late.

The timeline for SPAC

Figure 1 gives the typical timeline for a SPAC investment. Following the IPO, the proceeds for a SPAC are placed in a fund. In the meantime, the SPAC has to merge with a target company. If it is not able to do that in the time frame, the SPAC has to liquidate and the IPO proceeds are returned to the shareholders.

Figure 1. Typical SPAC timeline.

Typical SPAC timeline

Source: PWC accounting advisory

Difference between a traditional IPO and a SPAC

There are several ways a private company can go public (being quoted on the stock market). The most common route is through a traditional IPO, where the company is subject to regulatory and investor scrutiny of its audited financial statements.

An investment bank is usually hired by the company to underwrite the IPO, which usually takes 4-6 months to complete. This involves roadshows and pitch meetings between company executives and potential investors to drum up interest and demand in its shares. And not all IPOs succeed. A very famous example is that of a co-working-space company called WeWork withdrew its high-profile IPO in 2019 amid weak demand for its shares after massive losses and leadership controversies were revealed. Other companies such as Spotify and Slack went public through direct listings, saving on fees paid to middlemen such as investment banks, although there are more risks involved. And while private companies listed through SPACs are similar to reverse takeovers, such as the case for insolvent fintech company Wirecard, they are different in that SPACs start off on a clean slate and have lower risks. Because SPACs are nothing more but shell companies, their track records depend on the reputation of their management teams. By skipping the roadshow process, SPAC IPOs also typically are listed in a much shorter time. This leads to some investors to become wary of buying shares in companies listed through SPACs due to the lack of scrutiny compared to traditional IPOs.

SPAC sponsors also typically receive 20% of founder shares in the company at a heavily discounted price, also known as the “promote.” This essentially dilutes the ownership of public shareholders.

Performance of traditional IPOs compared to SPAC IPOs

According to Bloomberg, a study of 56 SPACs that completed acquisitions or mergers since the start of 2018 found that they tend to underperform the S&P 500 during a three, six and 12-month period after the transaction. A separate study of blank-check companies in the U.S. organized between 2015 and 2019 found that the majority are trading below the standard price of $10 per share. Between 2017 and the middle of 2019, there were slightly over 100 SPACs in the U.S., with an average return of a mere 2%.

Even before the pandemic, SPACs were already on the rise, buoyed by the equity boom and hot IPO market in 2019. While the pandemic has slowed the pipeline of traditional IPOs, SPACs have increased.

In fact, funds raised through SPACs outpaced traditional IPOs in August 2020 — a rarity on Wall Street. In the first ten months of 2020, there were 165 SPAC IPOs globally, of which 96% of them were listed in the U.S. While largely an American phenomenon, SPACs have caught the attention of investors in other jurisdictions.
In 2018, Antony Leung, the former finance secretary of Hong Kong, raised $1.5 billion on the New York Stock Exchange through his SPAC, which bought a mainland hospital chain a year later.

Other players include Masayoshi Son’s SoftBank, and the investment arm of Chinese state-owned conglomerate CITIC Group. Despite having sponsors from Asia looking to acquire international companies, these SPACs are ultimately listed in the U.S.

One main reason is the different rules for SPACs across jurisdictions. In the U.S., investors can vote to approve the acquisition the SPAC proposes or redeem their funds if they do not support the proposed deal.

This, however, isn’t a requirement in some European jurisdictions, including the U.K. There is also a lock-in period for British investors once an acquisition is announced until the approval of the prospectus, which ties them into deals that they may not support in that indefinite period.

Future of SPACs

As SPAC activity reaches fever pitch in the U.S., regulators are putting these blank-check companies under the microscope. Competition to the IPO process is probably a good thing, but for good competition and good decision-making, you need good information. And one of the areas in the SPAC space that I’m particularly focused on is incentives and compensation to the SPAC sponsors. As more ordinary investors jump on the SPAC bandwagon, experts are concerned that this will overheat markets and affect any fragile economic recovery. While SPACs provide a straightforward route to invest through a trusted intermediary, its performance so far means that it is a dicey bet for ordinary investors.

Why should I be interested in this post?

If you are interested in how big companies are going public, SPAC is one of the most interesting phenomena which is going to transform the financial industry. So, if you are planning to work for top underwriting firms or big banks or on Wall Street, you should have in-depth knowledge on how SPACs work and what are some of their advantages and disadvantages.

Useful resources

PWC How special purpose acquisition companies (SPACs) work Accessed November 2, 2021.

PWC Analysis: De-SPACing Successes Refuel Hot SPAC IPO Market Accessed November 2, 2021.

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About the author

The article was written in November 2021 by Daksh GARG (ESSEC Business School, Master in Strategy & Management of International Business (SMIB), 2020-2021).