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Ambiguity, Learning, and Asset Returns

Author

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  • Nengjiu Ju

    (Department of Finance, the Hong Kong University of Science and Technology)

  • Jianjun Miao

    (Department of Economics, Boston University)

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.

Suggested Citation

  • Nengjiu Ju & Jianjun Miao, "undated". "Ambiguity, Learning, and Asset Returns," Boston University - Department of Economics - Working Papers Series wp2009-014, Boston University - Department of Economics.
  • Handle: RePEc:bos:wpaper:wp2009-014
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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
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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