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Factors affecting the birth and fund flows of CTAs

Author

Listed:
  • Viet Do

    (Department of Banking and Finance, Monash University, Australia)

  • Robert Faff

    (UQ Business School, The University of Queensland, Australia)

  • Paul Lajbcygier

    (Department of Banking and Finance, Monash University, Australia)

  • Madhu Veeraraghavan

    (T.A. Pai Management Institute, India)

  • Mikhail Tupitsyn

    (Department of Banking and Finance, Monash University, Australia)

Abstract

Our paper investigates the timing of the inception of commodity trading advisors and the relationship between their fund flows and performance. Our results show that commodity trading advisor industry performance has, over the long-run (short-run), a positive (negative) effect on new commodity trading advisors. The functional form of the flow-performance relation varies across commodity trading advisor subcategories. Also, we do not observe a ‘smart money’ effect, indicating that investors are generally unsuccessful in choosing subsequent high-performing commodity trading advisors.

Suggested Citation

  • Viet Do & Robert Faff & Paul Lajbcygier & Madhu Veeraraghavan & Mikhail Tupitsyn, 2016. "Factors affecting the birth and fund flows of CTAs," Australian Journal of Management, Australian School of Business, vol. 41(2), pages 324-352, May.
    • Handle: RePEc:sae:ausman:v:41:y:2016:i:2:p:324-352
    DOI: 10.1177/0312896214539816
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    References listed on IDEAS

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    1. Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004. "An econometric model of serial correlation and illiquidity in hedge fund returns," Journal of Financial Economics, Elsevier, vol. 74(3), pages 529-609, December.
    2. Brown, Stephen J & Goetzmann, William N & Ibbotson, Roger G, 1999. "Offshore Hedge Funds: Survival and Performance, 1989-95," The Journal of Business, University of Chicago Press, vol. 72(1), pages 91-117, January.
    3. Bali, Turan G. & Brown, Stephen J. & Caglayan, Mustafa Onur, 2011. "Do hedge funds' exposures to risk factors predict their future returns?," Journal of Financial Economics, Elsevier, vol. 101(1), pages 36-68, July.
    4. Mila Getmansky, 2012. "The Life Cycle of Hedge Funds: Fund Flows, Size, Competition, and Performance," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 1-53.
    5. Ippolito, Richard A, 1992. "Consumer Reaction to Measures of Poor Quality: Evidence from the Mutual Fund Industry," Journal of Law and Economics, University of Chicago Press, vol. 35(1), pages 45-70, April.
    6. Frazzini, Andrea & Lamont, Owen A., 2008. "Dumb money: Mutual fund flows and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 88(2), pages 299-322, May.
    7. Lu Zheng, 1999. "Is Money Smart? A Study of Mutual Fund Investors' Fund Selection Ability," Journal of Finance, American Finance Association, vol. 54(3), pages 901-933, June.
    8. William N. Goetzmann & Nadav Peles, 1997. "Cognitive Dissonance And Mutual Fund Investors," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 145-158, June.
    9. Capocci, Daniel & Hubner, Georges, 2004. "Analysis of hedge fund performance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 55-89, January.
    10. Vikas Agarwal & Naveen D. Daniel & Narayan Y. Naik, 2009. "Role of Managerial Incentives and Discretion in Hedge Fund Performance," Journal of Finance, American Finance Association, vol. 64(5), pages 2221-2256, October.
    11. Travis Sapp & Ashish Tiwari, 2004. "Does Stock Return Momentum Explain the "Smart Money" Effect?," Journal of Finance, American Finance Association, vol. 59(6), pages 2605-2622, December.
    12. Daniel Edelman & William Fung & David Hsieh & Narayan Naik, 2012. "Funds of hedge funds: performance, risk and capital formation 2005 to 2010," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 87-108, March.
    13. Steven N. Kaplan & Antoinette Schoar, 2005. "Private Equity Performance: Returns, Persistence, and Capital Flows," Journal of Finance, American Finance Association, vol. 60(4), pages 1791-1823, August.
    14. Gruber, Martin J, 1996. "Another Puzzle: The Growth in Activity Managed Mutual Funds," Journal of Finance, American Finance Association, vol. 51(3), pages 783-810, July.
    15. Chevalier, Judith & Ellison, Glenn, 1997. "Risk Taking by Mutual Funds as a Response to Incentives," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1167-1200, December.
    16. Erik R. Sirri & Peter Tufano, 1998. "Costly Search and Mutual Fund Flows," Journal of Finance, American Finance Association, vol. 53(5), pages 1589-1622, October.
    17. William Fung & David A. Hsieh & Narayan Y. Naik & Tarun Ramadorai, 2008. "Hedge Funds: Performance, Risk, and Capital Formation," Journal of Finance, American Finance Association, vol. 63(4), pages 1777-1803, August.
    18. Agarwal, Vikas & Naik, Narayan Y., 2000. "Multi-Period Performance Persistence Analysis of Hedge Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 327-342, September.
    19. Stephen J. Brown & William N. Goetzmann & James Park, 2001. "Careers and Survival: Competition and Risk in the Hedge Fund and CTA Industry," Journal of Finance, American Finance Association, vol. 56(5), pages 1869-1886, October.
    20. Baquero, Guillermo & ter Horst, Jenke & Verbeek, Marno, 2005. "Survival, Look-Ahead Bias, and Persistence in Hedge Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(3), pages 493-517, September.
    21. Fung, William & Hsieh, David A., 2000. "Performance Characteristics of Hedge Funds and Commodity Funds: Natural vs. Spurious Biases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 291-307, September.
    22. Agarwal, Vikas & Daniel, Naveen D. & Naik, Narayan Y., 2009. "Role of managerial incentives and discretion in hedge fund performance," CFR Working Papers 04-04, University of Cologne, Centre for Financial Research (CFR).
    23. Fung, William & Hsieh, David A, 2001. "The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers," Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 313-341.
    24. William N. Goetzmann & Nadav Peles, 1997. "Cognitive Dissonance And Mutual Fund Investors," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 145-158, June.
    25. Hossein Kazemi & Ying Li, 2009. "Market timing of CTAs: An examination of systematic CTAs vs. discretionary CTAs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(11), pages 1067-1099, November.
    26. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    27. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    28. Horst, Jenke ter & Salganik, Galla, 2014. "Style chasing by hedge fund investors," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 29-42.
    29. Kosowski, Robert & Naik, Narayan Y. & Teo, Melvyn, 2007. "Do hedge funds deliver alpha? A Bayesian and bootstrap analysis," Journal of Financial Economics, Elsevier, vol. 84(1), pages 229-264, April.
    30. Brown, Stephen J, et al, 1992. "Survivorship Bias in Performance Studies," Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 553-580.
    31. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    32. Vrontos, Spyridon D. & Vrontos, Ioannis D. & Giamouridis, Daniel, 2008. "Hedge fund pricing and model uncertainty," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 741-753, May.
    33. Meligkotsidou, Loukia & Vrontos, Ioannis D., 2008. "Detecting structural breaks and identifying risk factors in hedge fund returns: A Bayesian approach," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2471-2481, November.
    34. Liang, Bing, 2000. "Hedge Funds: The Living and the Dead," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 309-326, September.
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    More about this item

    Keywords

    Commodity trading advisors; flow-performance relation; fund flows; smart money effect;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

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