We consider the problem of modelling the dependence between financial markets. In financial economics, the classical tool is the Pearson (or linear correlation) coefficient to compare the dependence structure. We show that this coefficient does not give a precise information on the dependence...

Copulas are a general tool to construct multivariate distributions and to investigate dependence structure between random variables. However, the concept of copula is not popular in Finance. In this paper, we show that copulas can be extensively used to solve many financial problems

In this paper, we consider non-uniform grids to solve PDE. We derive the theta-scheme algorithm based on finite difference methods and show its consistency. We then apply it to different option pricing problems

In this paper, we consider 2D option pricing. Most of the problems come from the fact that only few closed-form formulas are available. Numerical algorithms are also necessary to compute option prices. This paper examines some topics on this subject

Capital allocation within a bank is getting more important as the regulatory requirements are moving towards economic-based measures of risk. Banks are urged to build sound internal measures of credit and market risks for all their activities. Internal models for credit, market and operational...

The purpose of this paper is to analyse different implications of the stochastic behavior of asset prices volatilities for option hedging purposes. We present a simple stochastic volatility model for option pricing and illustrate its consistency with financial stylized facts. Then, assuming a...

In this paper, we show that copulas are a very powerful tool for risk management since it fulfills one of its main goals: the modelling of dependence between the individual risks. That is why this approach is an open field for risk

Hedge fund replication based on factor models is encountering growing interest. In this paper, we investigate the implications of substituting standard rolling windows regressions, which appear ad-hoc, with more efficient methodologies like the Kalman Filter. We show that the copycats...