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Hedge funds trading strategies and leverage

Author

Listed:
  • Huang, Wenli
  • Liu, Wenqiong
  • Lu, Lei
  • Mu, Congming

Abstract

We introduce learning into the hedge fund managers’ risk choice problem with imperfect information. We find that with a constant but unobserved expected return on investment, learning induces managers to take more risks and increases manager compensation. When the return is stochastic, learning increases manager compensation and induces an aggressive leverage choice when funds perform poorly or managers’ belief about fund returns is low. When funds are close to the high-water mark or the return belief is high, the learning effect reverses. This situation generates a flatter leverage ratio, which helps explain the cross-sectional dispersion of hedge fund strategies’ market betas. Finally, comparative statistics for transition intensity show that procyclicality in the hedge fund industry declines.

Suggested Citation

  • Huang, Wenli & Liu, Wenqiong & Lu, Lei & Mu, Congming, 2023. "Hedge funds trading strategies and leverage," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    • Handle: RePEc:eee:dyncon:v:149:y:2023:i:c:s016518892300043x
    DOI: 10.1016/j.jedc.2023.104637
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    References listed on IDEAS

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    1. William N. Goetzmann & Jonathan E. Ingersoll & Stephen A. Ross, 2003. "High‐Water Marks and Hedge Fund Management Contracts," Journal of Finance, American Finance Association, vol. 58(4), pages 1685-1718, August.
    2. Ferson, Wayne E & Harvey, Campbell R, 1991. "The Variation of Economic Risk Premiums," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 385-415, April.
    3. Yihong Xia, 2001. "Learning about Predictability: The Effects of Parameter Uncertainty on Dynamic Asset Allocation," Journal of Finance, American Finance Association, vol. 56(1), pages 205-246, February.
    4. Dangl, Thomas & Halling, Michael, 2012. "Predictive regressions with time-varying coefficients," Journal of Financial Economics, Elsevier, vol. 106(1), pages 157-181.
    5. Jinqiang Yang & Zhaojun Yang, 2012. "Consumption Utility-Based Pricing and Timing of the Option to Invest with Partial Information," Computational Economics, Springer;Society for Computational Economics, vol. 39(2), pages 195-217, February.
    6. Mathias S. Kruttli & Phillip J. Monin & Lubomir Petrasek & Sumudu W. Watugala, 2021. "Hedge Fund Treasury Trading and Funding Fragility: Evidence from the COVID-19 Crisis," Finance and Economics Discussion Series 2021-038, Board of Governors of the Federal Reserve System (U.S.).
    7. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2016. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," American Economic Review, American Economic Association, vol. 106(3), pages 664-698, March.
    8. Andrew W. Lo & Mila Getmansky & Peter A. Lee, 2015. "Hedge Funds: A Dynamic Industry in Transition," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 483-577, December.
    9. Lasse Heje Pedersen & Mark Mitchell & Todd Pulvino, 2007. "Slow Moving Capital," American Economic Review, American Economic Association, vol. 97(2), pages 215-220, May.
    10. Van Nieuwerburgh, Stijn & Veldkamp, Laura, 2006. "Learning asymmetries in real business cycles," Journal of Monetary Economics, Elsevier, vol. 53(4), pages 753-772, May.
    11. Itamar Drechsler, 2014. "Risk Choice under High-Water Marks," Review of Financial Studies, Society for Financial Studies, vol. 27(7), pages 2052-2096.
    12. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    13. Angeletos, George-Marios & Iovino, Luigi & La'O, Jennifer, 2020. "Learning over the business cycle: Policy implications," Journal of Economic Theory, Elsevier, vol. 190(C).
    14. Tomasz Piskorski & Alexei Tchistyi, 2010. "Optimal Mortgage Design," Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 3098-3140, August.
    15. Ghulam Abbas & Shouyang Wang, 2020. "Does macroeconomic uncertainty really matter in predicting stock market behavior? A comparative study on China and USA," China Finance Review International, Emerald Group Publishing Limited, vol. 10(4), pages 393-427, May.
    16. Ang, Andrew & Gorovyy, Sergiy & van Inwegen, Gregory B., 2011. "Hedge fund leverage," Journal of Financial Economics, Elsevier, vol. 102(1), pages 102-126, October.
    17. Zhao, Li & Huang, Wenli & Yang, Chen & Li, Shenghong, 2018. "Hedge fund leverage with stochastic market conditions," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 258-273.
    18. Li, Jiangyuan & Liu, Bo & Yang, Jinqiang & Zou, Zhentao, 2020. "Hedge fund’s dynamic leverage decisions under time-inconsistent preferences," European Journal of Operational Research, Elsevier, vol. 284(2), pages 779-791.
    19. Martin Chalkley & In Ho Lee, 1998. "Learning and Asymmetric Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(3), pages 623-645, July.
    20. Lan, Yingcong & Wang, Neng & Yang, Jinqiang, 2013. "The economics of hedge funds," Journal of Financial Economics, Elsevier, vol. 110(2), pages 300-323.
    21. Nicolas P.B. Bollen & Robert E. Whaley, 2009. "Hedge Fund Risk Dynamics: Implications for Performance Appraisal," Journal of Finance, American Finance Association, vol. 64(2), pages 985-1035, April.
    22. Racicot, François-Éric & Théoret, Raymond, 2018. "Multi-moment risk, hedging strategies, & the business cycle," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 637-675.
    23. Racicot, François-Éric & Théoret, Raymond, 2019. "Hedge fund return higher moments over the business cycle," Economic Modelling, Elsevier, vol. 78(C), pages 73-97.
    24. Luo, Deming & Yao, Zhongwei & Zhu, Yanjian, 2022. "Bubble-crash experience and investment styles of mutual fund managers," Journal of Corporate Finance, Elsevier, vol. 76(C).
    25. Stephen Brown & Yan Lu & Sugata Ray & Melvyn Teo, 2018. "Sensation Seeking and Hedge Funds," Journal of Finance, American Finance Association, vol. 73(6), pages 2871-2914, December.
    26. Racicot, François-Éric & Théoret, Raymond, 2016. "Macroeconomic shocks, forward-looking dynamics, and the behavior of hedge funds," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 41-61.
    27. Stavros Panageas & Mark M. Westerfield, 2009. "High‐Water Marks: High Risk Appetites? Convex Compensation, Long Horizons, and Portfolio Choice," Journal of Finance, American Finance Association, vol. 64(1), pages 1-36, February.
    28. Wang, Neng, 2009. "Optimal consumption and asset allocation with unknown income growth," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 524-534, May.
    29. Itzhak Ben-David & Francesco Franzoni & Rabih Moussawi, 2012. "Hedge Fund Stock Trading in the Financial Crisis of 2007--2009," Review of Financial Studies, Society for Financial Studies, vol. 25(1), pages 1-54.
    30. Yao, Juan & Wu, Bochen & Gao, Yang, 2021. "Death and the life hereafter: A study of the subsequent hedge funds," Finance Research Letters, Elsevier, vol. 40(C).
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    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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