We propose a model of volatility tail behavior, in which the pricing measure dominates the physical measure in both tails of the volatility distribution and, hence, the derived pricing kernel exhibits an increasing and decreasing region in the volatility dimension. The model features investors...

We propose a model of volatility tail behavior, in which investors display aversion to both low volatility and high volatility states, and, hence, the derived pricing kernel exhibits an increasing and decreasing region in the volatility dimension. The model features investors who have...

We contrast two different asset pricing models, where the pricing kernel either (i) increases in the volatility dimension, reflecting investors' aversion to volatility, or (ii) could be non-monotonic in volatility, reflecting heterogeneity in investors' beliefs. The two models yield opposite...

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...

This paper addresses questions regarding the dimensionality of the stochastic discount factor and the selection of the best factors that enter it. We analyze these questions theoretically and empirically with a novel methodology which performs both (i) estimation of factor loadings and (ii) best...