This paper studies the role of fluctuations in the aggregate price-earning ratio at different time scales for predicting stock returns and explore the channels through which returns are predicted. Using U.S. quarterly and international monthly data, we find that cycles in the price-earning ratio...

The recent experience from the global financial crisis has raised serious doubts about the accuracy of standard risk measures as a tool to quantify extreme downward risks. Standard risk measures are subject to a “model risk” due to the specification and estimation uncertainty. We propose a...

Researchers in finance very often rely on highly persistent – nearly integrated – explanatory variables to predict returns. However, statistical inference in predictive regressions depends critically upon the stochastic properties of the posited explanatory variable, and in particular, of...

We provide an economic valuation of the riskiness of risk models. We estimate the impact of model risks (estimation and specification) on VaR estimates. We find that integrating the model risk into the VaR computations implies a substantial correction, of order of 20-40% of VaR levels in...