Classement du concours de SimTrading "Blé de France"

Bonjour, Le premier concours de SimTrading intitulé Blé de France a commencé depuis le 15 octobre 2012 et se terminera le 20 novembre 2012. Vous trouverez ci-contre le classement des 10 premiers du concours. Rappelons que le classement des SimTraders dépend de leur activité de trading (passage d’ordres et performance) et de leur participation au … Read more

Lancement du concours de SimTrading "Blé de France"

Bonjour, Nous venons de mettre en ligne le premier concours de SimTrading intitulé Blé de France. Ce concours est sponsorisé par l’entreprise ACE Finance & Conseil qui est une société de conseil en gestion de patrimoine. Les simulations associées au concours ont été élaborées par Gabriel Eschbach (Président de ACE Finance & Conseil) et François … Read more

My experience as an M&A Analyst intern at Dilcap Invest

In this article, William LONGIN (MSc Financial Mathematics at Queen Mary University of London, 2026-2027) shares his experience as an M&A Analyst intern at Dilcap Invest, an independent M&A advisory boutique. Dilcap Invest Dilcap Invest is an independent M&A Advisory Boutique founded in 2025 by Christophe AUGER. The firm is headquartered in the historic Hôtel … Read more

How to download financial data with R

Any financial analysis starts with data. Whether you want to analyze a stock, build a portfolio, measure risk, create a valuation model or develop trading strategies, the first step is always the same: obtaining financial data. You could download data manually from websites such as Yahoo! Finance or Investing.com, but this quickly becomes tedious and … Read more

How to download and model financial data with Python

Any financial analysis starts with data. Whether you want to analyze a stock, build a portfolio, measure risk, create a valuation model or develop trading strategies, the first step is always the same: obtaining financial data. You could download data manually from websites such as Yahoo! Finance or Investing.com, but this quickly becomes tedious and … Read more

How to install and run Python on your computer (a step-by-step guide)

In finance, the ability to rapidly acquire, clean, and manipulate data is a key skill that can help you gain an edge over other students and job applicants. While Excel (with VBA) remains widely used and is sufficient for most basic financial modeling, such as a DCF valuation, Python offers far more scalability, automation, and … Read more

VIX Data and Statistical Properties

In this article, Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School) examines the statistical properties of historical VIX data and applies statistical methods to model its dynamics. Introduction The Chicago Board Options Exchange (CBOE) Volatility Index, or VIX, is a real-time market index designed … Read more

Haste Does Not Bring Success”: What SimTrade Taught Me About Patience, Discipline, and Market Judgment

In this article, Feitong GUO (The Chinese University of Hong Kong, Shenzhen, Accounting and Data Analytics, 2023–2027; ESSEC Business School, BBA Exchange Program, Spring 2026) explains how SimTrade changed her understanding of patience, risk and decision-making under uncertainty. “欲速则不达”: haste does not bring success Confucius warned that “欲速则不达,见小利则大事不成”: if we pursue speed or become distracted … Read more

My experience as a machine learning research intern: from social media data to an IEEE publication

In this article, Anirudh KUMAR (B.S. Economics, IIT Kanpur, with a minor in Artificial Intelligence and Machine Learning) shares his experience as a machine learning research intern. From February to August 2024, he worked under the supervision of Professor Swagato Chatterjee on a study of how people respond to Facebook communication about hydrogen fuel cell … Read more

Delta Hedging Explained: How Traders Stay Market Neutral

In this article, Abel ARAYA (ESSEC Business School, Master in Finance, 2025) takes a detailed and practical look at delta hedging, a core concept in options trading. Far from being just a mathematical tool, delta hedging is a real-world technique that allows traders to manage market risk dynamically and stay focused on what they actually … Read more

The Implied Volatility Surface as a Decision-Support Framework for Systematic Cash-Secured Put Strategies

In this article, Frédéric VALOGNES, lecturer, author and Certified European Financial Analyst (CEFA®), examines whether the dynamics of the implied volatility surface may provide a decision-support framework for systematic cash-secured put strategies. Abstract The Black-Scholes-Merton model remains one of the most influential developments in modern financial economics. Whilst its mathematical formulation continues to provide the … Read more

Implied Volatility Surface: Smiles, Smirks and Term Structure

In this article, Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School) explains the implied volatility surface: its characteristic shapes, static arbitrage constraints, and application using S&P 500 index options data. Introduction In financial markets characterized by uncertainty, volatility is a crucial factor in the … Read more

CBOE Volatility Index

In this article, Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School) explains the CBOE methodology for the construction of the volatility index or ‘VIX’. Introduction The Chicago Board Options Exchange (CBOE) Volatility Index, or VIX, is a real-time market index designed to measure the … Read more

Option Implied Risk-Neutral Distribution

In this article, Saral BINDAL (Indian Institute of Technology Kharagpur, Metallurgical and Materials Engineering, 2024-2028 & Research assistant at ESSEC Business School) explains how option prices can be used to build an implied risk-neutral distribution. Introduction Derivative markets provide a rich source of information for market expectations. For example, a futures price is the market’s … Read more

“October: this is one of the peculiarly dangerous months to speculate in stocks. The others are July, January, September, April, November, May, March, June, December, August and February.” – Marc Twain

Is there ever a “safe” time to invest money in financial markets? Many investors spend their careers searching for the perfect seasonal window, waiting for “calmer” months to risk their capital, or fearing specific periods like the infamous “October effect”. However, Mark Twain, as a cynical observer of human nature, suggests that our search for … Read more

Why Retail Option Strategies Underperform: Payoffs, Probabilities, and the Cost of Speculation

In this article, Alexandre LANGEVIN (ESSEC Business School, Global Bachelor in Business Administration (BBA), 2022-2026) examines why retail option strategies frequently underperform — that is, generate returns below a passive buy-and-hold benchmark or lose money outright — despite offering payoff profiles that appear attractive on paper. The article explains the structural mechanics behind four common … Read more

Understanding the Order Book: Analyzing Market Liquidity

In this article, Bochen LIU (Queen’s Smith School of Business, BCom 2023–2027; ESSEC BBA Exchange Program, Fall 2025) explains the concept of the order book, how it functions in financial markets, and the insights it provides to traders. What is an order book? For anyone engaging in financial markets, understanding the order book is essential. … Read more