Empirical evaluation of asset pricing models: Arbitrage and pricing errors in contingent claims

被引:5
|
作者
Wang, Zhenyu [2 ]
Zhang, Xiaoyan [1 ]
机构
[1] Purdue Univ, W Lafayette, IN 47907 USA
[2] Fed Reserve Bank New York, New York, NY USA
关键词
Bayesian inference; Asset pricing; Pricing errors; Model comparison; Contingent claims; CROSS-SECTIONAL TEST; SPECIFICATION ERRORS; RISK; RETURNS; MARKET; STOCK; CONSUMPTION; INFORMATION; STRATEGIES; PRICES;
D O I
10.1016/j.jempfin.2011.11.001
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Hansen and Jagannathan (1997) have developed two measures of pricing errors for asset-pricing models: the maximum pricing error in all static portfolios of the test assets and the maximum pricing error in all contingent claims of the assets. In this paper, we develop simulation-based Bayesian inference for these measures. While the literature reports that the time-varying extensions substantially reduce pricing errors of classic models on the standard test assets, our analysis shows that the reduction is much smaller based on the second measure. Those time-varying models have large pricing errors on the contingent claims of the test assets because their stochastic discount factors are often negative and admit arbitrage opportunities. (C) 2011 Elsevier B.V. All rights reserved.
引用
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页码:65 / 78
页数:14
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