Pricing CAC 40 Index Options under Asymmetry of Information.

This article analyses, for the first time, the financial impact on the French market of September 11th, 2001. Was there any information asymmetry around this date? How deep was the reaction of the French investors? This study measures the magnitude of the shock in the stock price process.Information costs; implied volatility; jump diffusion model;

GARCH option pricing under skew.

This article is an empirical study dedicated to the GARCH Option pricing model of Duan (1995) applied to the FTSE 100 European style options for various maturities. We analyze the validity of the model given its ability to price one-day ahead out-of-sample call options and also its ability to capture the empirical dynamic of the volatility skew. First, we get a severe mispricing for deep out-of-the-money and short term call options. Second, this model reveals a good ability to capture the change of regime in the implied volatility surface.GARCH model; Monte Carlo simulations; Implied Volatility; Volatility Smile;

Systematic credit risk: CDX index correlation and extreme dependence.

Dependence is an important issue in credit risk portfolio modeling and pricing. We discuss a straightforward common factor model of credit risk dependence, which is motivated by intensity models such as Duffie and Singleton (1998), among others. In the empirical analysis, we study dependence under the risk-neutral measure using credit default swap (CDS) spread data of liquid large-cap U.S. obligors. The proxy for the commonfactor is the DJ CDX.NA.IG index. We document that (i) the CDX factor is significant but has low explanatory power, (ii) factor sensitivities show distinct time-varying nature and that (iii) systematic credit risk shows asymmetric extreme factor dependence, where extreme dependence is present for upward CDX movements only. This finding from an EVT-copula approach is what is predicted by various intensity models of joint defaults.Credit risk; Time-varying risk; Extreme dependence; Factor model;

Extreme Asymmetric Volatility, Leverage, Feedback and Asset Prices.

Asymmetric volatility in equity markets has been widely documented in finance, where two competing explanations, as considered in Bekaert and Wu (2000), are the financial leverage and the volatility feedback hypothesis. We explicitly test for the role of both hypotheses in explaining extreme daily U.S. equity market movements during the period January 1990 to September 2008. To this aim, we examine asymmetric volatility based on a novel model of market returns, conditional market volatility and volatility of volatility. We then test for extreme asymmetry and the distinct predictions of both hypotheses. Our results document significant extreme asymmetric volatility. This effect is contemporaneous, consistent with both hypotheses, and it is important for large market declines. We further point out aggregate asset pricing implications under extreme volatility feedback.Market stress; Asymmetric volatility; Leverage effect; Effet de levier; Market volatility; Volatility feedback;

Risk premium spillovers among stock markets: Evidence from higher-order moments

Singapore Management University SKB

When the U.S. Stock Market Becomes Extreme?

Over the last three decades, the world economy has been facing stock market crashes, currency crisis, the dot-com and real estate bubble burst, credit crunch and banking panics. As a response, extreme value theory (EVT) provides a set of ready-made approaches to risk management analysis. However, EVT is usually applied to standardized returns to offer more reliable results, but remains difficult to interpret in the real world. This paper proposes a quantile regression to transform standardized returns into theoretical raw returns making them economically interpretable. An empirical test is carried out on the S&P500 stock index from 1950 to 2013. The main results indicate that the U.S stock market becomes extreme from a price variation of ±1.5% and the largest one-day decline of the 2007–2008 period is likely, on average, to be exceeded one every 27 years

Le Marché d'Options

National audiencePrésentation d'un ensemble d'instruments financiers permettant de réduire les risques pris par l'acheteur dans une économie mondialisée. Dans l'industrie, ces outils financiers confortent l'analyse économique et stratégique des décisions d'investissement