We develop a unified approach with closed-form solutions for pricing bonds, stocks,currencies and their derivatives. The specification assumes a fundamental risk factorrepresented by a stochastic positive definite matrix following a Wishart autoregressive(WAR) process. By assuming a...

In order to derive closed-form expressions of the prices of credit derivatives, the standard models for credit risk usually price the default intensities but not the default events themselves. The default indicator is replaced by an appropriate prediction and the prediction error, that is the...

The aim of our paper is to price credit derivatives written on a single name when this name is a bank. Indeed, due to the special structure of the balance sheet of a bank and to the interconnections with other institutions of the financial system, the standard pricing formulas do not apply and...

This paper proposes an overview of the usefulness of the regime switching approach for building various kinds of bond pricing models and of the roles played by the regimes in these models. Both default-free and defaultable bonds are considered. The regimes can be used to capture stochastic...

The basic assumption of a structural VARMA model (SVARMA) is that it is driven by a white noise whose components are uncorrelated (or independent) and are interpreted as economic shocks, called "structural" shocks. These models have to face two kinds of identification problems. The first...

We propose a joint modeling of spot electricity prices , forwards prices and other derivative prices, using recent developments in discrete time asset pricing methods based on the notions of stochastic discount factor and of Compound Autoregressive (or affine) stochastic processes. We show that...

In this paper, we present a general discrete-time affine frameworkaimed at jointly modeling yield curves associated with different debtors. Theunderlying fixed-income securities may differ in terms of credit quality and/orin terms of liquidity. The risk factors follow conditionally Gaussian...