We study whether prices of traded options contain information about future extreme market events. Our option-implied conditional expectation of market loss due to tail events, or tail loss measure, predicts future market returns, magnitude, and probability of the market crashes, beyond and above...

Using Compustat data, we reproduce the annual return distribution each year from 1963 to 2020 of the largest 500 and the next-largest 1000 US stocks, which on average represent about 96% of investable US stock capitalization. In the average calendar year about 65% (62%) of the largest (smaller)...

This paper examines continuous-time models for the S&P 100 index and its constituents. We find that the jump process of the typical stock looks significantly different than that of the index. Most importantly, the average size of a jumps in the returns of the typical stock is positive, while it...

We study the tail distributions of multi-day index returns across a variety of asset classes. Fitting power laws to the tail distributions, we find tail indices in the range [2-4] for all underlyings, for returns up to 250 days. We also find that the power laws can not be statistically ruled out...

Most papers in the portfolio choice literature have examined linear predictability frameworks based on the idea that simple but flexible Vector Autoregressive (VAR) models can be expanded to produce portfolio allocations that hedge against the bull and bear dynamics typical of financial markets...

Based on recent evidence of fractional cointegration in commodity spot and futures markets, we investigate whether a fractionally cointegrated model can provide statistically and/or economically significant forecasts of commodity returns. Specifically, we propose to model and forecast commodity...

We study the state-dependent trading behavior of financial intermediaries in the oil futures market, using structural vector autoregressions with Markov switching in heteroskedasticity. We decompose changes in futures price volatility into changes in the slopes of traders' demand curves and in...