We explore the practitioners methodology of choosing time-dependent parameters to fit a bond model to selected asset prices, and show that it can lead to systematic mispricing of some assets. The Black-Derman-Toy model, for example, is likely to overprice call options on long bonds when interest...

We provide a useracirc;not;quot;s guide to acirc;not;Sexoticacirc;not;? preferences: nonlinear time aggregators, departures from expected utility, preferences over time with known and unknown probabilities, risk sensitive and robust control, acirc;not;Shyperbolicacirc;not;? discounting, and...

We provide a useracirc;not;quot;s guide to acirc;not;Sexoticacirc;not;? preferences: nonlinear time aggregators, departures from expected utility, preferences over time with known and unknown probabilities, risk sensitive and robust control, acirc;not;Shyperbolicacirc;not;? discounting, and...

We provide a user's guide to exotic' preferences: nonlinear time aggregators, departures from expected utility, preferences over time with known and unknown probabilities, risk-sensitive and robust control, hyperbolic' discounting, and preferences over sets ( temptations'). We apply each to a...

Long-run asset-pricing restrictions in a macro term-structure model identify discretionary monetary policy separately from a policy rule. We find that policy discretion is an important contributor to aggregate risk. In addition, discretionary easing coincides with good news about the...

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...

Identi fication 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, identifi cation of the rule's parameters...