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Strategic Asset Allocation in Money Management

Author

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  • Basak, Suleyman
  • Makarov, Dmitry

Abstract

Money managers behave strategically when competing for fund flows within relatively small groups. We study strategic interaction between two risk-averse managers in continuous time, characterizing analytically their unique equilibrium dynamic investments. Driven by chasing and contrarian mechanisms when one is well ahead, they gamble in the opposite direction when their performances are close. We also discuss multiple and mixed-strategy equilibria. Equilibrium policy of each crucially depends on the opponent’s risk attitude. Hence, client investors, concerned about how a strategic manager may trade on their behalf, should also learn competitors’ characteristics--as against non-strategic settings, where knowing a manager’s own characteristics suffices to determine behavior.

Suggested Citation

  • Basak, Suleyman & Makarov, Dmitry, 2011. "Strategic Asset Allocation in Money Management," CEPR Discussion Papers 8457, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:8457
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Axel Stahmer, 2015. "Fund flows inducing mispricing of risk in competitive financial markets," ESMT Research Working Papers ESMT-15-04, ESMT European School of Management and Technology.
    2. Basak, Suleyman & Makarov, Dmitry, 2012. "Difference in interim performance and risk taking with short-sale constraints," Journal of Financial Economics, Elsevier, vol. 103(2), pages 377-392.
    3. Ron Kaniel & Péter Kondor, 2013. "The Delegated Lucas Tree," Review of Financial Studies, Society for Financial Studies, vol. 26(4), pages 929-984.
    4. Fang, Dawei & Holmén, Martin & Kleinlercher, Daniel & Kirchler, Michael, 2017. "How tournament incentives affect asset markets: A comparison between winner-take-all tournaments and elimination contests," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 1-27.
    5. Castañeda, Pablo & Devoto, Benjamín, 2016. "On the structural estimation of an optimal portfolio rule," Finance Research Letters, Elsevier, vol. 16(C), pages 290-300.
    6. Mourad Mroua & Fathi Abid, 2014. "Portfolio revision and optimal diversification strategy choices," International Journal of Managerial Finance, Emerald Group Publishing, vol. 10(4), pages 537-564, August.
    7. repec:eee:ejores:v:264:y:2018:i:3:p:1144-1158 is not listed on IDEAS
    8. Huang, Shiyang & Qiu, Zhigang & Shang, Qi & Tang, Ke, 2013. "Asset pricing with heterogeneous beliefs and relative performance," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4107-4119.
    9. Liu, Xiangbo & Qiu, Zhigang & Xiong, Yan, 2013. "VaR constrained asset pricing with relative performance," Economics Letters, Elsevier, vol. 121(2), pages 174-178.
    10. Han Feng & David Hobson, 2013. "Gambling in contests with regret," Papers 1301.0719, arXiv.org.
    11. repec:eee:jbfina:v:89:y:2018:i:c:p:105-124 is not listed on IDEAS
    12. Chia-Ying Chan & Christine W. Lai & Liang-Chung Lee, 2017. "Strategic Choice of Risk: Evidence from Mutual Fund Families," Journal of Financial Services Research, Springer;Western Finance Association, vol. 51(1), pages 125-163, February.
    13. Guan, Guohui & Liang, Zongxia, 2016. "A stochastic Nash equilibrium portfolio game between two DC pension funds," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 237-244.
    14. Castaneda, Pablo & Rudolph, Heinz P., 2011. "Upgrading investment regulations in second pillar pension systems : a proposal for Colombia," Policy Research Working Paper Series 5775, The World Bank.

    More about this item

    Keywords

    fund flows; incentives; Money Managers; portfolio choice; relative performance; risk shifting; strategic interactions; tournaments;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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