The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the...

This paper studies the predictability of ultra high-frequency stock returns and durations to relevant price, volume and transactions events, using machine learning methods. We find that, contrary to low frequency and long horizon returns, where predictability is rare and inconsistent,...

This paper shows that foreign term spreads constructed from bond yields of non-U.S. G-7 constituents predict future U.S. recessions and that foreign term spreads are stronger predictors of U.S. recessions occurring within the next year than U.S. term spreads. U.S. and foreign term spreads are...