In this study, we compare the out-of-sample forecasting performance of several modern Value-at- Risk (VaR) estimators derived from extreme value theory (EVT). Specifically, in a multi-asset study covering 30 years of stock, bond, commodity and currency market data, we analyse the accuracy of the...

We present a tractable framework which links realized covariances to liquidation flows and asset liquidities via a feeback loop. We show the identifiability of model parameters which enables to build a dynamic indicator for fund liquidations. At every date t, this indicator that we call the...

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon --- yet some economic agents could be particularly concerned about severe tail risk, rather than just mean returns. Motivated by present value logic, and the literature's suggestion that required...

The main goal of this paper is to introduce a new financial stress indicator, signaling regime transitions from stability to turbulence. This indicator is based on the combination of a wide range of market prices of risk, properly normalized to make them comparable across markets and time...

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon - instead, I shift focus to severe downside risk (i.e., crashes). I use the cointegrating relationship between the log S&P Composite Index and log earnings over 1871 to 2015, combined with...