Les récents épisodes de turbulence financière sont venus remettre en cause la précision des mesures classiques de risque pour évaluer les risques extrêmes. Ces mesures de risques, telles que la VaR, sont devenues incontournables dans la gestion des risques et l'allocation d'actifs (Basak...

The forecasting literature has identified three important and broad issues : the predictive content is unstable over time, in-sample and out-of-sample discordant results and the problematic statistical inference with highly persistent predictors. In this paper, we simultaneously address these...

We provide an economic valuation of the riskiness of risk models by directly measuring the impact of model risks (specification and estimation risks) on VaR estimates. We find that integrating the model risk into the VaR computations implies a substantial minimum correction of the order of...

La littérature sur la prévision économique et financière a identifié trois problèmes importants : l'instabilité des régressions prédictives, la discordance des résultats des tests de prévisions en échantillon et hors échantillon, et la difficile inférence statistique lorsque les...

The recent experience from the global financial crisis has raised serious questions about the accuracy of standard risk measures as a tool to quantify extreme downward risks. These standard risk measures, such as the VaR, emerge over the last decades as the industry standard for risk management...

Following the recent crisis and the revealed weakness of risk management practices, regulators of developed markets have recommended that financial institutions assess model risk. Standard risk measures, such as the Value-at-Risk (VaR), emerged over recent decades as the industry standard for...

Researchers in finance very often rely on highly persistent - nearly integrated - explanatory variables to predict returns. This paper proposes to stand up to the usual problem of persistent regressor bias, by detrending the highly auto-correlated predictors. We find that the statistical...

We provide an economic valuation of the riskiness of risk models by directly measuring the impact of model risks (specification and estimation risks) on VaR estimates. We find that integrating the model risk into the VaR computations implies a substantial minimum correction of the order of...

This paper studies the role of fluctuations in the aggregate price-earning ratio at different time-scales, for predicting stock returns and exploring the channels through which returns are forecasted. Using U.S. quartely data, we find that cycles in the price-earning ratio are strong and better...