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Evaluating Asset-Pricing Models Using The Hansen-Jagannathan Bound: A Monte Carlo Investigation (2001)

Abstract
We use recent statistical tests, based on a 'distance' between the model and the Hansen- Jagannathan bound, to compute the rejection rates of true models. For asset-pricing models with time-separable preferences, the finite-sample distribution of the test statistic associated with the risk-neutral case is extreme, in the sense that critical values based on this distribution deliver type I errors no larger than intended--regardless of risk aversion or the rate of time preference. We also show that these maximal-type-I-error critical values are appropriate for both time and state non-separable preferences and that they yield acceptably small type II error rates.

Publication details
Download http://citeseer.ist.psu.edu/597422.html
Source http://www.biz.uiowa.edu/faculty/cwhiteman/orwjae.pdf
Publisher unknown
Contributors The Pennsylvania State University CiteSeer Archives
Repository CiteSeer (United States)
Keywords Christopher Otrok,B. Ravikumar,Charles H. Whiteman Evaluating Asset-Pricing Models Using The Hansen-Jagannathan Bound: A Monte Carlo Investigation
Language Englisch