We derive a measure of aggregate systemic risk, designated CATFIN, that complements bank-specific systemic risk measures by forecasting macroeconomic downturns six months into the future using out-of-sample tests conducted with US, European and Asian bank data. Consistent with bank...

This paper investigates whether realized and implied volatilities of individual stocks can predict the cross-sectional variation in expected returns. Although the levels of volatilities from the physical and risk-neutral distributions cannot predict future returns, there is a significant...

This paper investigates the predictability of variance and value at-risk (VaR) measures in international stock markets. We use daily stock market returns for G7 countries (the United States, the United Kingdom, Germany, Japan, Canada, France, Italy) and generate the realized variance and VaR...