We propose two metrics for asset pricing models and apply them to representative agent models with recursive 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...

Identification problems arise naturally in forward-looking models when agents observe more than economists. We illustrate the problem in several macro-finance models with Taylor rules. When the shock to the rule is observed by agents but not economists, identification of the rule's parameters...

We use prices of equity index options to quantify the impact of extreme events on asset returns. We define extreme events as departures from normality of the log of the pricing kernel and summarize their impact with high-order cumulants: skewness, kurtosis, and so on. We show that high-order...

This paper extends the work of Barro and Gordon (1983) to general linear models with rational expectations. We examine the question whether the optimal policy rule, i.e. the one that a government which could pre-commit itself would use, can be sustained as a consistent rule in the sense defined...

Dynamic inconsistency provides a theoretical basis for discussions of policy credibility: when the government cannot commit its future policies, the incentive to deviate from the 'optimal' plan renders it incredible. We derive the best policy in the absence of precommitment as the feedback Nash...