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Time-Series Tests of a Non-Expected-Utility Model of Asset Pricing

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  • Alberto Giovannini
  • Philippe Jorion

Abstract

This paper provides two alternative estimation and testing procedures of a representative-agent model of asset pricing which relies on a particular parametrization of non-expected-utility preferences. The first is based on maximum-likelihood estimates, supplemented with an explicit model of time varying first and second moments (where the time-variation of second moments in modelled with an ARCH-Autoregressive Conditionally Heteroskedastic-process); the second is based on generalized-method-of moments estimates. We perform our tests on a data set that includes monthly observations of rates of return on US stock prices and US consumption of nondurables and services. Our results are directly comparable to a test of the dynamic capital asset pricing model performed by Hansen and Singleton (1983), and to a recent test of the model studied here performed by Epstein and Zin (1989).

Suggested Citation

  • Alberto Giovannini & Philippe Jorion, 1989. "Time-Series Tests of a Non-Expected-Utility Model of Asset Pricing," NBER Working Papers 3195, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:3195
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    References listed on IDEAS

    as
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    2. Bruno Jullien & Bernard Salanie, 2000. "Estimating Preferences under Risk: The Case of Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 108(3), pages 503-530, June.
    3. Gomes, Fábio Augusto Reis & Ribeiro, Priscila Fernandes, 2015. "Estimating the elasticity of intertemporal substitution taking into account the precautionary savings motive," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 108-123.
    4. Michel Normandin, 1999. "The Integration of Financial Markets and the Conduct of Monetary Policies: The Case of Canada and the United States," Cahiers de recherche CREFE / CREFE Working Papers 67, CREFE, Université du Québec à Montréal.
    5. de la Croix, David & Pommeret, Aude, 2021. "Childbearing postponement, its option value, and the biological clock," Journal of Economic Theory, Elsevier, vol. 193(C).
    6. Pommeret, Aude & Smith, William T., 2005. "Fertility, volatility, and growth," Economics Letters, Elsevier, vol. 87(3), pages 347-353, June.
    7. Faheem Aslam & Yasir Tariq Mohmand & Saqib Aziz & Jamal Ouenniche, 2020. "A complex networks based analysis of jump risk in equity returns: An evidence using intraday movements from Pakistan stock market," Post-Print hal-03160685, HAL.
    8. 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.
    9. Aslam, Faheem & Mohmand, Yasir Tariq & Aziz, Saqib & Ouenniche, Jamal, 2020. "A complex networks based analysis of jump risk in equity returns: An evidence using intraday movements from Pakistan stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    10. Lee, Wai, 1997. "Covariance risk, consumption risk, and international stock market returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(2), pages 491-510.
    11. Campbell, John Y, 1996. "Understanding Risk and Return," Journal of Political Economy, University of Chicago Press, vol. 104(2), pages 298-345, April.
    12. Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana, 2022. "Relative Risk Aversion: A Meta-Analysis," MetaArXiv b8uhe, Center for Open Science.
    13. Anne Epaulard & Aude Pommeret, 2003. "Recursive Utility, Endogenous Growth, and the Welfare Cost of Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(3), pages 672-684, July.
    14. Wan-Yi Chiu, 2021. "Mean-variance hedging in the presence of estimation risk," Review of Derivatives Research, Springer, vol. 24(3), pages 221-241, October.
    15. Michel Normandin, 2004. "Canadian and U.S. financial markets: testing the international integration hypothesis under time-varying conditional volatility," Canadian Journal of Economics, Canadian Economics Association, vol. 37(4), pages 1021-1041, November.
    16. Robert R. Bliss & Nikolaos Panigirtzoglou, 2001. "Recovering risk aversion from options," Working Paper Series WP-01-15, Federal Reserve Bank of Chicago.
    17. Myung Hoon Yi & Changkyu Choi, 2006. "A GMM test of the precautionary saving hypothesis with nonexpected-utility preferences," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 71-78.
    18. Saleem, Kashif & Vaihekoski, Mika, 2010. "Time-varying global and local sources of market and currency risks in Russian stock market," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 686-697, October.
    19. Ni, Shawn & Raymon, Neil, 2004. "Price uncertainty and consumer welfare in an intertemporal setting," Journal of Economic Dynamics and Control, Elsevier, vol. 28(9), pages 1877-1901, July.
    20. Campbell, John Y, 1993. "Intertemporal Asset Pricing without Consumption Data," American Economic Review, American Economic Association, vol. 83(3), pages 487-512, June.
    21. Gordon, Stephen & Samson, Lucie & Carmichael, Benoit, 1995. "Finite-sample inferences about mean-standard deviation bounds for stochastic discount factors," Economics Letters, Elsevier, vol. 49(3), pages 295-300, September.
    22. Yi, Zhen & Zhu, Chao & Zhang, Yuwei, 2024. "Why risk attitude differs between macro and micro level? A decoherence perspective," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 978-997.
    23. Taiji Harashima, 2005. "An Estimate of the Elasticity of Intertemporal Substitution in a Production Economy," Macroeconomics 0508030, University Library of Munich, Germany.

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