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Asset Proportions in Optimal Portfolios

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  • Josef Hadar
  • Tae Kun Seo

Abstract

The paper is concerned with conditions under which the proportion of a given asset in the optimal portfolio of a risk averse agent is at least as large as some given proportion. The paper provides a condition that is necessary and sufficient for such a result to hold. The analysis is then confined to portfolios in which the distributions of assets differ by either a first-degree stochastic dominance shift or by a mean-preserving shift. Examples are provided to show that under some conditions a risk averter may invest a smaller proportion of his wealth in the dominating asset than in the dominated asset. The paper then provides conditions that are necessary and sufficient for a risk averter to invest more in the dominating asset.

Suggested Citation

  • Josef Hadar & Tae Kun Seo, 1988. "Asset Proportions in Optimal Portfolios," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(3), pages 459-468.
    • Handle: RePEc:oup:restud:v:55:y:1988:i:3:p:459-468.
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    File URL: http://hdl.handle.net/10.2307/2297395
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    Citations

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    Cited by:

    1. Milevsky, Moshe Arye & Panyagometh, Kamphol, 2001. "Variable annuities versus mutual funds: a Monte-Carlo analysis of the options," Financial Services Review, Elsevier, vol. 10(1-4), pages 145-161.
    2. Chen, Zijin & Hu, Taizhong, 2008. "Asset proportions in optimal portfolios with dependent default risks," Insurance: Mathematics and Economics, Elsevier, vol. 43(2), pages 223-226, October.
    3. Clark, Ephraim & Jokung, Octave & Kassimatis, Konstantinos, 2011. "Making inefficient market indices efficient," European Journal of Operational Research, Elsevier, vol. 209(1), pages 83-93, February.
    4. Michel Denuit & Rachel Huang & Larry Tzeng, 2015. "Almost expectation and excess dependence notions," Theory and Decision, Springer, vol. 79(3), pages 375-401, November.
    5. Denuit, Michel M. & Huang, Rachel J. & Tzeng, Larry Y. & Wang, Christine W., 2014. "Almost marginal conditional stochastic dominance," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 57-66.
    6. Ephraim Clark & Octave Jokung, 1999. "A Note on Asset Proportions, Stochastic Dominance, and the 50% Rule," Management Science, INFORMS, vol. 45(12), pages 1724-1727, December.
    7. Xuehu Zhu & Xu Guo & Lu Lin & Lixing Zhu, 2016. "Testing for positive expectation dependence," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(1), pages 135-153, February.
    8. Michel Denuit & Louis Eeckhoudt, 2016. "Risk aversion, prudence, and asset allocation: a review and some new developments," Theory and Decision, Springer, vol. 80(2), pages 227-243, February.
    9. Li, Xiaohu & Li, Chen, 2016. "On allocations to portfolios of assets with statistically dependent potential risk returns," Insurance: Mathematics and Economics, Elsevier, vol. 68(C), pages 178-186.
    10. Li, Chen & Li, Xiaohu, 2019. "Preservation of WSAI under default transforms and its application in allocating assets with dependent realizable returns," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 84-91.
    11. Erin Baker, 2009. "Optimal Policy under Uncertainty and Learning about Climate Change: A Stochastic Dominance Approach," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 11(5), pages 721-747, October.
    12. Wei, Wei, 2017. "Joint stochastic orders of high degrees and their applications in portfolio selections," Insurance: Mathematics and Economics, Elsevier, vol. 76(C), pages 141-148.
    13. Fang, Yi & Post, Thierry, 2017. "Higher-degree stochastic dominance optimality and efficiency," European Journal of Operational Research, Elsevier, vol. 261(3), pages 984-993.
    14. Kroll, Yoram & Leshno, Moshe & Levy, Haim & Spector, Yishay, 1995. "Increasing risk, decreasing absolute risk aversion and diversification," Journal of Mathematical Economics, Elsevier, vol. 24(6), pages 537-556.
    15. Cai, Jun & Wei, Wei, 2015. "Notions of multivariate dependence and their applications in optimal portfolio selections with dependent risks," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 156-169.
    16. Post, Thierry & Kopa, Miloš, 2013. "General linear formulations of stochastic dominance criteria," European Journal of Operational Research, Elsevier, vol. 230(2), pages 321-332.

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