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Autor(en):
Alexander Ludwig, Alexander Zimper
Titel:
Biased Bayesian learning and the risk-free rate puzzle
Abstract:
According to the risk-free rate puzzle the return on safe assets is much lower than predicted by standard representative agent models of consumption based asset pricing. Based on non-additive probability measures arising in Choquet decision theory we develop a closed-form model of Bayesian learning in which the Choquet estimator of the mean consumption growth rate does not converge to its true value. It rather expresses a bias that reflects the agent's ambiguity about his estimator. We calibrate...     »
Stichworte:
Arbeitspapier/Diskussionspapier
Jahr:
2009
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