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1.
Eduardo Zambrano 《Economic Theory》2008,36(1):147-158
Suppose we know the utility function of a risk averse decision maker who values a risky prospect X at a price CE. Based on this information alone I develop upper bounds for the tails of the probabilistic belief about X of the decision maker. In the paper I also illustrate how to use these expected utility bounds in a variety of applications, which include the estimation of risk measures from observed data, option valuation, and the study of credit risk. I would like to thank John Cochrane, Tom Cosimano, Amanda Friedenberg, George Korniotis, Markus Brunermeier and Paul Schultz for helpful discussions and to participants at two Notre Dame seminars, at the 2006 Spring Midwest Economic Theory and International Economics Conference, and at the 2006 Australasian Meeting of the Econometric Society for their very useful comments. I began working on this project during a year-long visit to the Central Bank of Venezuela. I gratefully acknowledge their hospitality and financial support. 相似文献
2.
Hammad Siddiqi 《Journal of Behavioral Finance》2018,19(3):249-270
What happens when the capital asset pricing model is adjusted for the anchoring and adjustment heuristic of Tversky and Kahneman [1974]? The surprising finding is that adjusting the capital asset pricing model for anchoring provides a plausible unified framework for understanding almost all of the key asset pricing anomalies. The anomalies captured in the theoretical framework include the well-known size and value effects, high alpha of low beta stocks, accruals, low volatility anomaly, momentum effect, stock splits, and reverse stock splits. The market equity premium is also larger with anchoring. This suggests that the anchoring-adjusted capital asset pricing model may provide the needed unifying structure to behavioral finance. 相似文献