We consider terrorism acts in G7 countries over the period 1998-2017 and examine their impact on a sample of stock market indices from 66 countries. Using an event-study methodology we find that stock markets decline significantly on the event day and on the following trading day. We further...

We consider bankruptcy announcements of large financial institutions in the US and examine their impact on an international sample of 66 stock market indices. Employing an event-study methodology, we find that stock markets exhibit strong adverse reaction in the aftermath of such announcements....

A multi-factor commodity portfolio combining the momentum, basis, basis-momentum, hedging pressure and value commodity factor portfolios outperforms significantly, economically and statistically, widely used commodity benchmarks. We find evidence that a variance timing strategy applied to...

We develop an analytical solution to the dynamic multi-period portfolio choice problem of an investor with risky liabilities and time varying investment opportunities. We use the model to compare the asset allocation of investors who take liabilities into account, assuming time varying returns...

We examine the association of the Bitcoin price crash risk with economic uncertainty and behavioral factors. We show that economic uncertainty displays a negative and significant association with Bitcoin price crash risk, indicating that when economic uncertainty is high, the crash risk of...

We provide evidence using data from the G7 countries suggesting that return dispersion may serve as an economic state variable in that it reliably predicts time-variation in economic activity, market returns, the value and momentum premia and market volatility. A relatively high return...

Long-term country equity premium forecasts based on a cross-sectional global factor model (CS-GFM), where factors represent compensation for risks proxied by valuation and financial variables, are superior, statistically and economically, from forecasts based on time-series prediction models...

We shed new light on the role of commodities in asset allocation for investors with and without liabilities who (a) believe that asset returns are time varying and predictable (b) have short and long term horizons and (c) have access, in addition to a standard passive commodity portfolio, to...