With hedgefunds, managers develop risk management models that mainly aim to play on the effect of de correlation.In order to achieve this goal,companies use the correlation coefficient as an indicator for measuring dependencies existing between(i)the various hedge funds strategies and share...

The French wholesale market is set to expand in the next few years under European pressure and national decisions. In this paper, we assess the forecasting ability of several classes of time series models for electricity wholesale spot prices at a day-ahead horizon in France. Electricity spot...

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.

This thesis first presents India’s economy and financial system’s recent history and current issues. Then, with an emphasis on the recent turmoil period, it studies the question of financial integration in various markets: equity markets are dealt with in the 1st chapter, CDS spreads are...

Outliers can lead to model misspecifications, poor forecasts and invalid inferences. Their identification and correction is therefore an important objective of financial modeling. This paper introduces a simple method to detect outliers in a financial series. It uses an AR(1)–GARCH(1,1) model...

Complementary health insurance plays an increasing role in the French health care system. In this context, identifying individual preferences regarding complementary coverage is crucial to insurance companies as well as public authorities. This paper uses data provided by a major health...

We empirically investigate the impact of option listing on the underlying stock efficiency by looking at the volume-volatility relation of underlying stock. We use a time- consistent bivariate VAR (Vector Autoregressive Regression) model that includes time duration between trades. This model...

Developing term structure models can be tricky, as unknown factors and non-observable variables can affect futures prices. But principal components analysis is useful in tackling these problems. Here, Delphine Lautier uses PCA to pin down price movements, test their stability over time and to...

This article analyses long-term dynamic hedging strategies relying on term structure models of commodity prices and proposes a new way to calibrate the models which takes into account the errors associated to the hedge ratios. Different strategies, with maturities up to seven years, are tested...