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Ambiguity, Learning, and Asset Returns

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  • Ju, Nengjiu
  • Miao, Jianjun

Abstract

We propose a novel generalized recursive smooth ambiguity model which allows a three-way separation among risk aversion, ambiguity aversion, and intertemporal substitution. We apply this utility to a consumption-based asset pricing model in which consumption and dividends follow hidden Markov regime-switching processes. Our calibrated model can match the mean equity premium, the mean riskfree rate, and the volatility of the equity premium observed in the data. In addition, our model can generate a variety of dynamic asset pricing phenomena, including the procyclical variation of price-dividend ratios, the countercyclical variation of equity premia and equity volatility, and the mean reversion of excess returns. The key intuition is that an ambiguity averse agent behaves pessimistically by attaching more weight to the pricing kernel in bad times when his continuation values are low.

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  • Ju, Nengjiu & Miao, Jianjun, 2009. "Ambiguity, Learning, and Asset Returns," MPRA Paper 14737, University Library of Munich, Germany, revised Apr 2009.
  • Handle: RePEc:pra:mprapa:14737
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    More about this item

    Keywords

    Ambiguity aversion; learning; asset pricing puzzles; model uncertainty; robustness; pessimism;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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