IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v81y2025ics0927539825000027.html
   My bibliography  Save this article

Smart beta, “smarter” flows

Author

Listed:
  • Cao, Jie
  • Hsu, Jason C.
  • Song, Linjia
  • Xiao, Zhanbing
  • Zhan, Xintong

Abstract

We document that when smart beta ETFs are more actively traded, mutual fund flow sensitivity to multi-factor alphas increases significantly. This evidence is consistent with a friction hypothesis that active smart beta ETF trading reduces the costs of investing in non-market risk factors (e.g., SMB and HML). Consequently, when this friction is diminished, investors reward mutual fund managers more for multi-factor alphas. We show that the results are driven by sophisticated investors, ruling out behavioral explanations. The results are concentrated among mutual funds with high exposures to non-market risk factors. We further find that the gap between CAPM alpha and multi-factor alphas in explaining flows reduces when smart beta ETFs are actively traded.

Suggested Citation

  • Cao, Jie & Hsu, Jason C. & Song, Linjia & Xiao, Zhanbing & Zhan, Xintong, 2025. "Smart beta, “smarter” flows," Journal of Empirical Finance, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:empfin:v:81:y:2025:i:c:s0927539825000027
    DOI: 10.1016/j.jempfin.2025.101580
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539825000027
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jempfin.2025.101580?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grinblatt, Mark & Titman, Sheridan, 1993. "Performance Measurement without Benchmarks: An Examination of Mutual Fund Returns," The Journal of Business, University of Chicago Press, vol. 66(1), pages 47-68, January.
    2. Agarwal, Vikas & Green, T. Clifton & Ren, Honglin, 2018. "Alpha or beta in the eye of the beholder: What drives hedge fund flows?," Journal of Financial Economics, Elsevier, vol. 127(3), pages 417-434.
    3. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    4. Chalmers, John & Reuter, Jonathan, 2020. "Is conflicted investment advice better than no advice?," Journal of Financial Economics, Elsevier, vol. 138(2), pages 366-387.
    5. James M. Poterba & John B. Shoven, 2002. "Exchange-Traded Funds: A New Investment Option for Taxable Investors," American Economic Review, American Economic Association, vol. 92(2), pages 422-427, May.
    6. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    7. Berk, Jonathan B. & van Binsbergen, Jules H., 2015. "Measuring skill in the mutual fund industry," Journal of Financial Economics, Elsevier, vol. 118(1), pages 1-20.
    8. Itzhak Ben-David & Jiacui Li & Andrea Rossi & Yang Song, 2022. "Ratings-Driven Demand and Systematic Price Fluctuations," The Review of Financial Studies, Society for Financial Studies, vol. 35(6), pages 2790-2838.
    9. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    10. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," The Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    11. Berk, Jonathan B. & van Binsbergen, Jules H., 2016. "Assessing asset pricing models using revealed preference," Journal of Financial Economics, Elsevier, vol. 119(1), pages 1-23.
    12. Pástor, Ľuboš & Stambaugh, Robert F. & Taylor, Lucian A., 2015. "Scale and skill in active management," Journal of Financial Economics, Elsevier, vol. 116(1), pages 23-45.
    13. Joseph Gerakos & Juhani T. Linnainmaa & Adair Morse, 2021. "Asset Managers: Institutional Performance and Factor Exposures," Journal of Finance, American Finance Association, vol. 76(4), pages 2035-2075, August.
    14. 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.
    15. Cremers, Martijn & Ferreira, Miguel A. & Matos, Pedro & Starks, Laura, 2016. "Indexing and active fund management: International evidence," Journal of Financial Economics, Elsevier, vol. 120(3), pages 539-560.
    16. Pastor, Lubos & Stambaugh, Robert F., 2002. "Investing in equity mutual funds," Journal of Financial Economics, Elsevier, vol. 63(3), pages 351-380, March.
    17. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    18. Aragon, George O. & Spencer Martin, J., 2012. "A unique view of hedge fund derivatives usage: Safeguard or speculation?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 436-456.
    19. 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.
    20. Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, February.
    21. David Easley & David Michayluk & Maureen O’Hara and Tālis & J Putniņš, 2021. "The Active World of Passive Investing [Mutual fund’s R2 as predictor of performance]," Review of Finance, European Finance Association, vol. 25(5), pages 1433-1471.
    22. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    23. Grinblatt, Mark & Titman, Sheridan D, 1989. "Mutual Fund Performance: An Analysis of Quarterly Portfolio Holdings," The Journal of Business, University of Chicago Press, vol. 62(3), pages 393-416, July.
    24. repec:bla:jfinan:v:59:y:2004:i:1:p:261-288 is not listed on IDEAS
    25. George O. Aragon & Vikram Nanda, 2012. "Tournament Behavior in Hedge Funds: High-water Marks, Fund Liquidation, and Managerial Stake," The Review of Financial Studies, Society for Financial Studies, vol. 25(3), pages 937-974.
    26. Crane, Alan D. & Crotty, Kevin, 2018. "Passive versus Active Fund Performance: Do Index Funds Have Skill?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(1), pages 33-64, February.
    27. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2021. "An Augmented q-Factor Model with Expected Growth [Abnormal returns to a fundamental analysis strategy]," Review of Finance, European Finance Association, vol. 25(1), pages 1-41.
    28. Pastor, Lubos & Stambaugh, Robert F., 2002. "Mutual fund performance and seemingly unrelated assets," Journal of Financial Economics, Elsevier, vol. 63(3), pages 315-349, March.
    29. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    30. repec:bla:jfinan:v:53:y:1998:i:5:p:1589-1622 is not listed on IDEAS
    31. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    32. Richard B Evans & Yang Sun & Lauren Cohen, 2021. "Models or Stars: The Role of Asset Pricing Models and Heuristics in Investor Risk Adjustment," Review of Economic Studies, Oxford University Press, vol. 34(1), pages 67-107.
    33. Richard B Evans & Yang Sun, 2021. "Models or Stars: The Role of Asset Pricing Models and Heuristics in Investor Risk Adjustment [Which factors matter to investors? evidence from mutual fund flows]," The Review of Financial Studies, Society for Financial Studies, vol. 34(1), pages 67-107.
    34. Jennifer Huang & Kelsey D. Wei & Hong Yan, 2022. "Investor learning and mutual fund flows," Financial Management, Financial Management Association International, vol. 51(3), pages 739-765, September.
    35. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," Review of Finance, European Finance Association, vol. 33(4), pages 1673-1736.
    36. Daniel Bergstresser & John M. R. Chalmers & Peter Tufano, 2009. "Assessing the Costs and Benefits of Brokers in the Mutual Fund Industry," The Review of Financial Studies, Society for Financial Studies, vol. 22(10), pages 4129-4156, October.
    37. Ben-Rephael, Azi & Kandel, Shmuel & Wohl, Avi, 2012. "Measuring investor sentiment with mutual fund flows," Journal of Financial Economics, Elsevier, vol. 104(2), pages 363-382.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can machine learning help to select portfolios of mutual funds?," Economics Working Papers 1772, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can machine learning help to select portfolios of mutual funds?," Economics Working Papers 1772, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Omori, Kozo & Kitamura, Tomoki, 2023. "Investor response to Morningstar's ratings, category information, and alpha in the Japanese mutual fund market," International Review of Financial Analysis, Elsevier, vol. 89(C).
    4. Kozo Omori & Tomoki Kitamura, 2021. "Managers’ skills and fund flows in the Japanese mutual fund market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 39(4), pages 675-696, November.
    5. Ferson, Wayne & Mo, Haitao, 2016. "Performance measurement with selectivity, market and volatility timing," Journal of Financial Economics, Elsevier, vol. 121(1), pages 93-110.
    6. Hung, Pi-Hsia & Lien, Donald & Kuo, Ming-Sin, 2020. "Window dressing in equity mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 338-354.
    7. Dang, Thuy Duong & Hollstein, Fabian & Prokopczuk, Marcel, 2022. "How do corporate bond investors measure performance? Evidence from mutual fund flows," Journal of Banking & Finance, Elsevier, vol. 142(C).
    8. Elton, Edwin J. & Gruber, Martin J., 2013. "Mutual Funds," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1011-1061, Elsevier.
    9. Timothy B. Riley, 2021. "Portfolios of actively managed mutual funds," The Financial Review, Eastern Finance Association, vol. 56(2), pages 205-230, May.
    10. Michel Verlaine, 2022. "Behavioral finance and the architecture of the asset management industry," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1454-1476, December.
    11. Dahlquist, Magnus & Odegaard, Bernt Arne, 2018. "A Review of Norges Bank's Active Management of the Government Pension Fund Global," UiS Working Papers in Economics and Finance 2018/1, University of Stavanger.
    12. Chang, Xiaochen & Guo, Songlin & Huang, Junkai, 2022. "Kidnapped mutual funds: Irrational preference of naive investors and fund incentive distortion," International Review of Financial Analysis, Elsevier, vol. 83(C).
    13. Clemens Sialm & Hanjiang Zhang, 2020. "Tax‐Efficient Asset Management: Evidence from Equity Mutual Funds," Journal of Finance, American Finance Association, vol. 75(2), pages 735-777, April.
    14. Servaes, Henri & Sigurdsson, Kari, 2022. "The Costs and Benefits of Performance Fees in Mutual Funds," Journal of Financial Intermediation, Elsevier, vol. 50(C).
    15. Yang Song, 2020. "The Mismatch Between Mutual Fund Scale and Skill," Journal of Finance, American Finance Association, vol. 75(5), pages 2555-2589, October.
    16. Feldman, David & Saxena, Konark & Xu, Jingrui, 2020. "Is the active fund management industry concentrated enough?," Journal of Financial Economics, Elsevier, vol. 136(1), pages 23-43.
    17. Døskeland, Trond & Sjuve, André Wattø & Ørpetveit, Andreas, 2025. "Do fees matter? Investor’s sensitivity to active management fees," Journal of Empirical Finance, Elsevier, vol. 81(C).
    18. Yue Cai, 2025. "The Effects of Misperceived Managerial Skills: Evidence from Chinese Mutual Funds," Working Papers 2412, Waseda University, Faculty of Political Science and Economics.
    19. Chrétien, Stéphane & Kammoun, Manel, 2024. "Representative investors versus best clienteles: Performance evaluation disagreement in mutual funds," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    20. Keith Cuthbertson & Dirk Nitzsche & Niall O'Sullivan, 2010. "Mutual Fund Performance: Measurement and Evidence," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 19(2), pages 95-187, May.

    More about this item

    Keywords

    Smart beta ETFs; Mutual fund flows; Factor model; Friction; Financial innovation;
    All these keywords.

    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:empfin:v:81:y:2025:i:c:s0927539825000027. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jempfin .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.