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The Role of Risk Aversion and Intertemporal Substitution in Dynamic Consumption-Portfolio Choicewith Recursive Utility

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  • Bhamra, Harjoat S.
  • Uppal, Raman

Abstract

The objective of this paper is to understand the implications for consumption and portfolio choice of the separation of an investor’s risk aversion and elasticity of intertemporal substitution that is made possible by recursive utility, in contrast to expected utility, where the two are governed by the same parameter. In particular, we study exactly how risk aversion and elasticity of intertemporal substitution affect optimal dynamic consumption and portfolio decisions. For a three-date, discrete-time model with a stochastic interest rate, we obtain an exact analytic solution for the optimal consumption and portfolio policies. We find that, in general, the consumption and portfolio decisions depend on both risk aversion and the elasticity of intertemporal substitution. Only in the case where the investment opportunity set is constant, is the optimal portfolio weight independent of the elasticity of intertemporal substitution. We also find that the size of risk aversion relative to unity determines the sign of the intertemporal hedging component in the optimal portfolio, while elasticity of intertemporal substitution affects only the magnitude of the hedging component.

Suggested Citation

  • Bhamra, Harjoat S. & Uppal, Raman, 2005. "The Role of Risk Aversion and Intertemporal Substitution in Dynamic Consumption-Portfolio Choicewith Recursive Utility," CEPR Discussion Papers 5020, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:5020
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    References listed on IDEAS

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    Cited by:

    1. Xu, Shaofeng, 2017. "Volatility risk and economic welfare," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 17-33.
    2. Kihlstrom, Richard, 2009. "Risk aversion and the elasticity of substitution in general dynamic portfolio theory: Consistent planning by forward looking, expected utility maximizing investors," Journal of Mathematical Economics, Elsevier, vol. 45(9-10), pages 634-663, September.
    3. repec:eee:ecofin:v:42:y:2017:i:c:p:156-171 is not listed on IDEAS
    4. Theodoros Diasakos, 2008. "Comparative Statics of Asset Prices," Carlo Alberto Notebooks 72, Collegio Carlo Alberto, revised 2011.
    5. Su, Yongyang & Lau, Marco Chi Keung, 2010. "Strategic asset allocation and intertemporal demands: with commodities as an asset class," MPRA Paper 26337, University Library of Munich, Germany.
    6. Stephen Satchell & Susan Thorp, 2007. "Scenario Analysis with Recursive Utility: Dynamic Consumption Plans for Charitable Endowments," Research Paper Series 209, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Russell Cooper & Guozhong Zhu, 2016. "Household Finance over the Life-Cycle: What does Education Contribute?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 63-89, April.
    8. Chien, YiLi & Cole, Harold L. & Lustig, Hanno, 2014. "Implications of heterogeneity in preferences, beliefs and asset trading technologies for the macroeconomy," Working Papers 2014-14, Federal Reserve Bank of St. Louis.
    9. Yili Chien & Harold Cole & Hanno Lustig, 2016. "Implications of Heterogeneity in Preferences, Beliefs and Asset Trading Technologies in an Endowment Economy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 215-239, April.
    10. Rapach, David E. & Wohar, Mark E., 2009. "Multi-period portfolio choice and the intertemporal hedging demands for stocks and bonds: International evidence," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 427-453, April.
    11. Haijun Wang & L. Steven Hou, 2015. "Robust Consumption and Portfolio Choice with Habit Formation, the Spirit of Capitalism and Recursive Utility," Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 393-416, November.
    12. Roche, Hervé, 2011. "Asset prices in an exchange economy when agents have heterogeneous homothetic recursive preferences and no risk free bond is available," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 80-96, January.
    13. Gollier, Christian, 2008. "Understanding saving and portfolio choices with predictable changes in assets returns," Journal of Mathematical Economics, Elsevier, vol. 44(5-6), pages 445-458, April.
    14. Jang, Bong-Gyu & Lee, Seungkyu & Lim, Byung Hwa, 2016. "Robust consumption and portfolio rules with time-varying model confidence," Finance Research Letters, Elsevier, vol. 18(C), pages 342-352.
    15. Stephen Satchell & Susan Thorp & Oliver Williams, 2012. "Estimating Consumption Plans for Recursive Utility by Maximum Entropy Methods," Research Paper Series 300, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. Patrizia Ordine & Giuseppe Rose, 2014. "Secure Job And Risky Choices? An Analysis Of State And Wealth Dependence Of Risk Aversion Using Severance Pay Allocation," Working Papers 201407, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    17. Isaenko, Sergei, 2008. "The term structure of interest rates in a pure exchange economy where investors have heterogeneous recursive preferences," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(3), pages 457-481, August.
    18. Pierre‐André Chiappori & Monica Paiella, 2011. "Relative Risk Aversion Is Constant: Evidence From Panel Data," Journal of the European Economic Association, European Economic Association, vol. 9(6), pages 1021-1052, December.
    19. Han, Nan-Wei & Hung, Mao-Wei, 2017. "Optimal consumption, portfolio, and life insurance policies under interest rate and inflation risks," Insurance: Mathematics and Economics, Elsevier, vol. 73(C), pages 54-67.
    20. Branger, Nicole & Schlag, Christian & Schneider, Eva, 2008. "Optimal portfolios when volatility can jump," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1087-1097, June.

    More about this item

    Keywords

    decision making; intertemporal optimization;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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