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Changing investment styles: style creep and style gaming in the hedge fund industry

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  • Ramin Baghai‐Wadji
  • Rami El‐Berry
  • Stefan Klocker
  • Markus Schwaiger

Abstract

Notwithstanding their common features, hedge funds remain an extremely diverse asset class. Information on fund styles is important for numerous purposes, such as portfolio construction, performance attribution and risk management. With fund self‐declaration being prone to (strategic) misclassification, return‐based taxonomies grouping funds along similarities in realized returns provide a useful alternative. We provide a consistent classification system of homogeneous groups of hedge funds based on self‐organizing maps. Whereas some fund categories such as managed futures are largely consistent in their self‐declared strategies, others, especially so‐called ‘equity hedge’ funds, display no or very limited return similarities. Furthermore, we also find evidence of fund managers performing undisclosed changes of their trading style over time. Those funds that misclassified themselves once are particularly likely to change their trading style again. Although style self‐declaration can, therefore, be quite misleading, our results indicate that hedge funds do not misdeclare their style strategically to improve their relative performance. Copyright © 2006 John Wiley & Sons, Ltd.

Suggested Citation

  • Ramin Baghai‐Wadji & Rami El‐Berry & Stefan Klocker & Markus Schwaiger, 2006. "Changing investment styles: style creep and style gaming in the hedge fund industry," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 14(4), pages 157-177, October.
    • Handle: RePEc:wly:isacfm:v:14:y:2006:i:4:p:157-177
    DOI: 10.1002/isaf.275
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    1. Mark Mitchell & Todd Pulvino, 2001. "Characteristics of Risk and Return in Risk Arbitrage," Journal of Finance, American Finance Association, vol. 56(6), pages 2135-2175, December.
    2. Brown, Stephen J. & Goetzmann, William N., 1997. "Mutual fund styles," Journal of Financial Economics, Elsevier, vol. 43(3), pages 373-399, March.
    3. 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.
    4. Glosten, L. R. & Jagannathan, R., 1994. "A contingent claim approach to performance evaluation," Journal of Empirical Finance, Elsevier, vol. 1(2), pages 133-160, January.
    5. Carl Ackermann & Richard McEnally & David Ravenscraft, 1999. "The Performance of Hedge Funds: Risk, Return, and Incentives," Journal of Finance, American Finance Association, vol. 54(3), pages 833-874, June.
    6. Vicente Pascual Pons-Sanz & Alok Kumar, 2002. "Behavior and Performance of Investment Newsletters Analysts," Yale School of Management Working Papers ysm275, Yale School of Management.
    7. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    8. Mangiameli, Paul & Chen, Shaw K. & West, David, 1996. "A comparison of SOM neural network and hierarchical clustering methods," European Journal of Operational Research, Elsevier, vol. 93(2), pages 402-417, September.
    9. Niels Waller & Heather Kaiser & Janine Illian & Mike Manry, 1998. "A comparison of the classification capabilities of the 1-dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms," Psychometrika, Springer;The Psychometric Society, vol. 63(1), pages 5-22, March.
    10. Fung, William & Hsieh, David A, 2001. "The Risk in Hedge Fund Strategies: Theory and Evidence from Trend Followers," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 313-341.
    11. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
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