The structural uncertainty model with Bayesian learning, advanced by Weitzman (AER 2007), provides a framework for gauging the effect of structural uncertainty on asset prices and risk premiums. This paper provides an operational version of this approach that incorporates realistic priors about...

This paper studies the structure of stock market crashes, rallies, their jump arrival rates, and extremes. Large market moves are characterized in a pure-jump modeling framework. Based on both raw and devolatized returns, it is shown empirically that crashes are more severe in intensity than...

Does the primacy of the U.S. dollar affect the pricing of risks in the currency options market? Our findings rely on a daily option panel of 15 currencies. This analysis reveals that (i) put risk premiums are negative, implying across-the-board interest in hedging foreign currency depreciations;...

Default risk permeates the behavior of corporate bond returns and spreads, credit default swap spreads, estimation of default probabilities, and loss in default. Pertinent to this review are salient empirical findings and implications of default process estimation over 1974 to 2021. Both...

The VIX futures curve is most often in contango but displays backwardation during unfavorable market conditions. We construct an explanation based on the notion of stochastic orders of volatility uncertainty – meaning that investors view short-dated volatility uncertainty as being less likely...

We develop a way of ranking and scoring actively managed funds and investment strategies. Our performance measure accounts for the feature that investors may exhibit caution, via the mechanism of ambiguity aversion, when evaluating investment strategies. Linking developed theory to data, we...