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…

   ▶ Louis DETALLE Bloomberg

About the author

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

Bloomberg

Bloomberg

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 Bloomberg LP, the international leader in the data-providing market…

Quick presentation of the company

Bloomberg LP is an American financial group specialized in services to financial market professionals and in economic and financial information. Bloomberg operates as a news agency and via numerous media such as TV, radio, press, internet, and books. The company was founded in 1981 by Michael Bloomberg, former mayor of New York City.

In its early days, Bloomberg LP’s activities were only based on the exploitation of a historical database of US Treasury yield curves, bought by the founder to its former employer, the investment bank Salomon Brothers. After that, the company added on its terminals a messaging system, retransmissions of financial assets’ prices and developed financial news flows long before the watershed of Internet.
In 1990, Michael Bloomberg installed his 1,000th terminal.

Type of people working at Bloomberg (types of jobs)

The careers available at Bloomberg LP are numerous and very diverse. The Board’s needs in terms of employees mainly consist of software designers to help design the Bloomberg’s terminals, sectorial financial specialists in order to provide precise and adequate analysis.
Finally, the last kind of profiles that Bloomberg needs are journalists and more broadly, people with great writing abilities since Bloomberg LP produces a huge flow of written articles every day. Bloomberg News for instance (one of many Bloomberg LP’s subsidiaries) has over 10 000 employees which gives an idea of the written flow emitted by the company.

Main competitors

As Bloomberg’s activities are very diverse, we will classify the main competitors of the American firm in respect to the activities.
For Bloomberg’s core business, which is the terminals, Thomson Reuters is the most natural competitor in this space (with products like Kobra, Eikon, D3000). 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 Bloomberg remains a generalist.

Bloomberg’s editorial branch’s main competitors would be Reuters, the 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.

Useful resources

Bloomberg

Thomson Reuters

Related posts on the SimTrade blog

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

   ▶ Louis DETALLE Reuters

About the author

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

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

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

Louis DETALLE

In this article, Louis DETALLE (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains the importance of data providers and how they influence global finance…

What are data providers?

A data provider is an intermediary between data and data users. Indeed, a data provider provides market data to financial firms, traders, and investors. The data distributed is previously gathered, organized and presented in an understandable way. Data providers collect the data from sources such as stock exchange feeds, brokers’ notes and dealer desks or regulatory filings. Some names will definitely ring a bell, such as Bloomberg, Thomson Reuters whereas some others will be less known as Moody’s Analytics.

The different types of data that are exchanged for financial purposes

When it comes to data used in finance, trading rooms are the best example as they contain almost nothing but data. Indeed, transaction prices, traded volumes of stocks and bonds are displayed at all times. But trading rooms are only one specific of example of data’s use in finance.

As mentioned, there are many different types of instruments (e.g., stocks, bonds, currencies, funds, options, futures, etc.) and hundreds of financial markets for investment, which leads to an extremely large flow of data exchanged.

The types of data offered vary by data provider. Generally, they cover information about companies and financial instruments (options, shares, bonds, treasury bonds and currencies) which companies might trade or issue.

The data can be updated every day or several times a day! Intraday data for instance are prices provided throughout the day and are usually released on a continuous basis.

The main dynamics of the Data Providers’ market

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 providers enjoy a market that seems to be limitless. Indeed, as data provider raw material’s amount is ever-increasing, it appears they will thrive for decades.

In addition, the market seems to be detained by only a few actors among which Bloomberg that acquired BNA and BusinessWeek. This contributes to curbing the number of data providers and improving the monopoly of Bloomberg on the data-providing market. Let’s review the market shares of the 4 major data providers: Bloomberg enjoys a comfortable 33,4% market share, Refinitiv Eiken follows with a 19,6% share of the market, Capital IQ has a 6,2% market share when FactSet closes the ranking with 4,5% of the market. (source:https://www.wallstreetprep.com/knowledge/bloomberg-vs-capital-iq-vs-factset-vs-thomson-reuters-eikon/)

Useful resources

Bloomberg

Refinitiv

Capital IQ

FactSet

Thomson Reuters

Related posts on the SimTrade blog

   ▶ Louis DETALLE The importance of data in finance

   ▶ Louis DETALLE Reuters

   ▶ Louis DETALLE Bloomberg

About the author

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

The importance of data in finance

The importance of data in finance

Louis DETALLE

In this article, Louis DETALLE (ESSEC Business School, Grande Ecole Program – Master in Management, 2020-2023) explains the importance of data-management for corporations and how they are used to improve profitability.

According to a study published by CapGemini untitled: The data-powered enterprise: Why organizations must strengthen their data mastery, it is estimated that the gain from efficient data-management would represent 22% in terms of firm profitability.

Why is data used?

The use of data in finance can also be very useful in finance for various reasons.

Indeed, the multitude of data available allows for a deeper understanding of the market in terms of risks and opportunities. This knowledge is accompanied by an important consideration of political, social and economic factors.

As early as 2006, British mathematician and Tesco marketing mastermind Clive Humby stated “Data is the new oil.” The companies with the largest market capitalizations also bear witness to this importance of data. The ranking shows of tradingstat shows a podium of Apple, Microsoft and Google: the predominance of data-driven companies is clearly observable here.

In which finance-related fields is data used?

In finance, it is especially in the trading rooms that data has become an absolutely indispensable tool. Indeed, it is thanks to Big Data – i.e. increasingly exhaustive data, at an ever faster pace – that high frequency trading has been developed. In short, high-frequency trading makes it possible to place several thousand buy and/or sell orders in a few seconds, or even milliseconds, while optimizing risk management in order to adapt the strategy to market responses. This trading strategy allows for buying and selling in a sufficiently short period of time to avoid a potentially negative market movement during the operation.

On the other hand, retail banks (i.e. banks for individuals) are also confronted with the challenges of data-management. The development of online services offers them a better knowledge of their customers, which leads to a change in the bank’s relationship with its customers. In doing so, banks improve their ability to adapt their offer to the customer profile. Big Data also enables banks to fight fraud. Banks are now able to monitor all bank card transactions and be alerted when a user makes a payment (particularly in terms of amount, time or geographical area). For investment banks, whether it is the implementation of a more reliable scoring of credit files, the pooling of data between banks, analysis of the “sentiment” of investors for traders or the compliance of data and its processing, the indispensable character of data is no longer to be proven.

The importance of data regulation though

The use of data in finance is very useful but can be problematic when the data concerns the personal data of users or customers. In this context, financial actors are subject to ever increasing regulation and the adoption of the EU’s GDPR, in 2016, seems to be a step in this direction.

Useful resources

BlackRock L’utilisation du Big Data dans un processus d’investissement

Related posts on the SimTrade blog

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

   ▶ Louis DETALLE Reuters

   ▶ Louis DETALLE Bloomberg

About the author

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