preferences, habits, and jumps. The metrics describe the pricing kernel's dispersion (the entropy of the title) and dynamics (time … dependence, a measure of how entropy varies over different time horizons). We show how each model generates entropy and time … approximations -- clarifies the mechanisms underlying these models. It also reveals, in some cases, tension between entropy, which …

preferences, habits, and jumps. The metrics describe the pricing kernel's dispersion (the entropy of the title) and dynamics (time … dependence, a measure of how entropy varies over different time horizons). We show how each model generates entropy and time … approximations -- clarifies the mechanisms underlying these models. It also reveals, in some cases, tension between entropy, which …

preferences, habits, and jumps. The metrics describe the pricing kernel’s dispersion (the entropy of the title) and dynamics (time … dependence, a measure of how entropy varies over different time horizons). We show how each model generates entropy and time … approximations — clarifies the mechanisms underlying these models. It also reveals, in some cases, tension between entropy, which …

We provide an entropy approach for measuring asymmetric comovement between the return on a single asset and the market …. Moreover, our approach also provides an entropy-based measure of downside asymmetric comovement. In the cross-section of stock …

Purpose - We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and … expected stock returns. Design/methodology/approach - We estimate a cross-sectional model of expected entropy that uses several … common risk factors to predict idiosyncratic entropy. Findings - We find a negative relationship between expected …

% (and can be as high as 40%) of total currency risk, as measured by the entropy of exchange rate changes, over horizons of …