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A Ranking over "More Risk Averse Than" Relations and its Application to the Smooth Ambiguity Model

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  • Chiaki Hara

    (Institute of Economic Research, Kyoto University)

Abstract

Given two pairs of expected utility functions, we formalize the notion that one expected utility function is more risk-averse than the other in the first pair to a greater extent than in the second pair. We do so by assuming that the utility functions are twice continuously differentiable and satisfy the Inada condition, and, in each of the two pairs, using the function that transforms the derivatives of one expected utility function to the derivatives of the other, rather than the function that transforms one expected utility function to the other. This definition allows us to interpret the quantitative results on the ambiguity aversion coefficients of the smooth ambiguity model of Klibanoff, Marinacci, and Mukerji (2005) in some cases not covered by the more-ambiguity-averse-than relation that they conceived.

Suggested Citation

  • Chiaki Hara, 2020. "A Ranking over "More Risk Averse Than" Relations and its Application to the Smooth Ambiguity Model," KIER Working Papers 1019, Kyoto University, Institute of Economic Research.
    • Handle: RePEc:kyo:wpaper:1019
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    References listed on IDEAS

    as
    1. Fabrice Collard & Sujoy Mukerji & Kevin Sheppard & Jean‐Marc Tallon, 2018. "Ambiguity and the historical equity premium," Quantitative Economics, Econometric Society, vol. 9(2), pages 945-993, July.
    2. Larry G. Epstein, 2010. "A Paradox for the “Smooth Ambiguity” Model of Preference," Econometrica, Econometric Society, vol. 78(6), pages 2085-2099, November.
    3. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2012. "On the Smooth Ambiguity Model: A Reply," Econometrica, Econometric Society, vol. 80(3), pages 1303-1321, May.
    4. Hui Chen & Nengjiu Ju & Jianjun Miao, 2014. "Dynamic Asset Allocation with Ambiguous Return Predictability," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(4), pages 799-823, October.
    5. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    6. Nengjiu Ju & Jianjun Miao, 2012. "Ambiguity, Learning, and Asset Returns," Econometrica, Econometric Society, vol. 80(2), pages 559-591, March.
    7. Julian Thimme & Clemens Völkert, 2015. "Ambiguity in the Cross-Section of Expected Returns: An Empirical Assessment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 418-429, July.
    8. Kyoungwon Seo, 2009. "Ambiguity and Second-Order Belief," Econometrica, Econometric Society, vol. 77(5), pages 1575-1605, September.
    9. Mohammad R. Jahan-Parvar & Hening Liu, 2014. "Ambiguity Aversion and Asset Prices in Production Economies," Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 3060-3097.
    10. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    11. , & ,, 2011. "Intertemporal substitution and recursive smooth ambiguity preferences," Theoretical Economics, Econometric Society, vol. 6(3), September.
    12. Ross, Stephen A, 1981. "Some Stronger Measures of Risk Aversion in the Small and the Large with Applications," Econometrica, Econometric Society, vol. 49(3), pages 621-638, May.
    13. Yoram Halevy, 2007. "Ellsberg Revisited: An Experimental Study," Econometrica, Econometric Society, vol. 75(2), pages 503-536, March.
    14. Chiaki Hara & Toshiki Honda, 2018. "ImpliedAmbiguity:Mean-Variance Efficiency andPricingErrors," KIER Working Papers 1004, Kyoto University, Institute of Economic Research.
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    More about this item

    Keywords

    Expected utility functions; risk aversion; ambiguity aversion; smooth ambiguity model;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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