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Mutual Fund Industry Selection and Persistence

Author

Listed:
  • Jeffrey A. Busse
  • Qing Tong
Abstract
We analyze mutual fund industry selectivity—the performance of a fund’s industry allocation relative to the market. We find that industry selection accounts for a full third of fund performance based on two-digit standard industrial classification (SIC) codes, with the remaining attributable to the performance of individual stocks relative to their own industries. More importantly, we find that industry-selection skill drives persistence in relative performance. Unlike stock-selection ability, industry selectivity is not eroded by increasing fund assets. Our results suggest that accounting for a manager’s ability to pick outperforming industries provides information beyond standard performance measures that can enhance a fund investor’s future performance.

Suggested Citation

  • Jeffrey A. Busse & Qing Tong, 2012. "Mutual Fund Industry Selection and Persistence," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(2), pages 245-274.
    • Handle: RePEc:oup:rasset:v:2:y:2012:i:2:p:245-274.
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    File URL: http://hdl.handle.net/10.1093/rapstu/ras004
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    Citations

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    Cited by:

    1. Gallefoss, Kristoffer & Hansen, Helge Hoff & Haukaas, Eirik Solli & Molnár, Peter, 2015. "What daily data can tell us about mutual funds: Evidence from Norway," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 117-129.
    2. Wayne E. Ferson & Jerchern Lin, 2013. "Alpha and Performance Measurement: The Effects of Investor Disagreement and Heterogeneity," NBER Working Papers 19349, National Bureau of Economic Research, Inc.
    3. Scott Bennett & David R. Gallagher & Graham Harman & Geoffrey J. Warren & Yuki Xi, 2018. "A new perspective on performance persistence: evidence using portfolio holdings," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(1), pages 91-125, March.
    4. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2016. "Stock return predictability and determinants of predictability and profits," Emerging Markets Review, Elsevier, vol. 26(C), pages 153-173.
    5. Cai, Yu & Lau, Sie Ting, 2015. "Informed trading around earnings and mutual fund alphas," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 168-180.
    6. Lemeunier, Sébastien Michel, 2021. "Information Asymmetry and the Mutual Fund Market," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 440-448.
    7. Appel, Ian R. & Gormley, Todd A. & Keim, Donald B., 2016. "Passive investors, not passive owners," Journal of Financial Economics, Elsevier, vol. 121(1), pages 111-141.
    8. Bührle, Anna Theresa & Yen, Chia-Yi, 2023. "Too much "skin in the game" ruins the game: Evidence from managerial capital gains taxes," ZEW Discussion Papers 23-028, ZEW - Leibniz Centre for European Economic Research, revised 2023.
    9. Ian R. Appel & Todd A. Gormley & Donald B. Keim, 2016. "Standing on the Shoulders of Giants: The Effect of Passive Investors on Activism," NBER Working Papers 22707, National Bureau of Economic Research, Inc.
    10. Wayne Ferson & Junbo L Wang, 2021. "A Panel Regression Approach to Holdings-Based Fund Performance Measures [Multiperiod performance persistence analysis of hedge funds]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(4), pages 695-734.
    11. Steven Chong Xiao, 2020. "Do Noisy Stock Prices Impede Real Efficiency?," Management Science, INFORMS, vol. 66(12), pages 5990-6014, December.
    12. Dannhauser, Caitlin D. & Spilker, Harold D., 2023. "The Modern Mutual Fund Family," Journal of Financial Economics, Elsevier, vol. 148(1), pages 1-20.
    13. Santi, Caterina & Zwinkels, Remco C.J., 2023. "Exploring style herding by mutual funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    14. Hitesh Doshi & Redouane Elkamhi & Mikhail Simutin, 2015. "Managerial Activeness and Mutual Fund Performance," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 5(2), pages 156-184.
    15. Ying Liao & Cuixia Li & Lei Jiang & Liang Peng, 2021. "Quantifying Diseconomies Of Scale For Mutual Funds," Annals of Economics and Finance, Society for AEF, vol. 22(1), pages 1-24, May.
    16. Łukasz Dopierała & Magdalena Mosionek-Schweda & Daria Ilczuk, 2020. "Does the Asset Allocation Policy Affect the Performance of Climate-Themed Funds? Empirical Evidence from the Scandinavian Mutual Funds Market," Sustainability, MDPI, vol. 12(2), pages 1-23, January.
    17. Linlin Ma & Yuehua Tang, 2019. "Portfolio Manager Ownership and Mutual Fund Risk Taking," Management Science, INFORMS, vol. 65(12), pages 5518-5534, December.
    18. Jame, Russell & Tong, Qing, 2014. "Industry-based style investing," Journal of Financial Markets, Elsevier, vol. 19(C), pages 110-130.
    19. Jeffrey A. Busse & Tarun Chordia & Lei Jiang & Yuehua Tang, 2021. "Transaction Costs, Portfolio Characteristics, and Mutual Fund Performance," Management Science, INFORMS, vol. 67(2), pages 1227-1248, February.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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