The recent period has highlighted a well-known phenomenon, namely the existence of a positive bias in experts’ anticipations. Literature on this subject underlines optimism in the financial analyst community. In this work, our significant contributions are twofold: we provide explanatory bias...

This article proposes a new empirical methodology for computing a cross-market volatility index - coined CMIX - based on the Factor-Dynamic Conditional Correlation (DCC) model, implemented on volatility surprises. This approach solves problems in treating high-dimensional data and estimating...

This paper investigates the link between wholesale electricity prices in Europe and the CO2 cost, i.e. the price of European Union Allowances (EUAs), over the two first phases of the European Union Emissions Trading Scheme (EU ETS). We set up a theoretical framework and an empirical model to...

We examine the effects of collateral provision as a potential channel between funding liquidity tensions and the scarcity of market liquidity. This channel consists in transferring the credit risk associated with refinancing operations between financial institutions to market participants that...

The aim of this paper is to build and estimate a macroeconomic model of credit risk for the French manufacturing sector. This model is based on Wilson’s Credit Portfolio View model (1997a, 1997b); it enables us to simulate loss distributions for a credit portfolio for several macroeconomic...

We consider the channel consisting in transferring the credit risk associated with refinancing operations between financial institutions to market participants. In particular, we analyze liquidity and volatility premia on the French government debt securities market, since these assets are used...

This paper explores the forecasting abilities of Markov-Switching models. Although MS models generally display a superior in-sample fit relative to linear models, the gain in prediction remains small. We confirm this result using simulated data for a wide range of specifications. In order to...

This article develops a forecasting exercise of the volatility of EUA spot, EUA futures, and CER futures carbon prices (modeled after an AR(1)-GARCH(1,1)) using two dynamic factors as exogenous regressors that were extracted from a Factor Augmented VAR model (Bernanke et al. (2005)). The dataset...

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...

This thesis contributes to the analysis and measure of systemic risk through four chapters. In the first chapter, we discuss the notion of systemic risk and detail the methodological issues of modeling. The second chapter proposes a structural model of solvency contagion. Within an equilibrium...