IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v69y2024ipbs1062940823001377.html
   My bibliography  Save this article

Effect of sectoral holdings on the flow-performance sensitivity of mutual funds

Author

Listed:
  • Covachev, Svetoslav
  • Yadav, Vijay

Abstract

We find that the flow-performance sensitivity (FPS) of mutual funds depends on the composition of their sectoral holdings. We use the Morningstar classification of fund holdings into the following three Super Sectors: Defensive, Sensitive, and Cyclical. On average, the FPS decreases as the fraction of defensive or sensitive stocks increases in the fund’s portfolio. The FPS increases as the fraction of cyclical stocks increases. During high sentiment periods, the sensitivity of new sales as well as redemptions increases, resulting in overall higher FPS for all funds. However, in both the low and the high sentiment periods, the FPS is lower for funds with a higher fraction of defensive or sensitive stocks and higher for funds with a higher fraction of cyclical stocks. Investors with a long investment horizon may wish to avoid mutual funds that invest primarily in cyclical stocks as funds with high FPS tend to have high liquidity costs.

Suggested Citation

  • Covachev, Svetoslav & Yadav, Vijay, 2024. "Effect of sectoral holdings on the flow-performance sensitivity of mutual funds," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
  • Handle: RePEc:eee:ecofin:v:69:y:2024:i:pb:s1062940823001377
    DOI: 10.1016/j.najef.2023.102014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940823001377
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.najef.2023.102014?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. Agarwal, Vikas & Gay, Gerald D. & Ling, Leng, 2014. "Window dressing in mutual funds," CFR Working Papers 11-07 [rev.3], University of Cologne, Centre for Financial Research (CFR).
    2. 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.
    3. 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.
    4. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    5. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    6. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    7. Francesco A. Franzoni & Martin C. Schmalz, 2013. "Fund Flows and Market States," Swiss Finance Institute Research Paper Series 13-41, Swiss Finance Institute, revised Jun 2017.
    8. 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.
    9. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    10. Coval, Joshua & Stafford, Erik, 2007. "Asset fire sales (and purchases) in equity markets," Journal of Financial Economics, Elsevier, vol. 86(2), pages 479-512, November.
    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. Francesco Franzoni & Martin C. Schmalz, 2017. "Fund Flows and Market States," The Review of Financial Studies, Society for Financial Studies, vol. 30(8), pages 2621-2673.
    13. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    14. 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.
    15. Mark Grinblatt & Matti Keloharju, 2009. "Sensation Seeking, Overconfidence, and Trading Activity," Journal of Finance, American Finance Association, vol. 64(2), pages 549-578, April.
    16. Woodrow T. Johnson, 2004. "Predictable Investment Horizons and Wealth Transfers among Mutual Fund Shareholders," Journal of Finance, American Finance Association, vol. 59(5), pages 1979-2012, October.
    17. Harvey, Campbell R. & Liu, Yan, 2019. "Cross-sectional alpha dispersion and performance evaluation," Journal of Financial Economics, Elsevier, vol. 134(2), pages 273-296.
    18. 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.
    19. 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.
    20. Vikas Agarwal & Gerald D. Gay & Leng Ling, 2014. "Window Dressing in Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 27(11), pages 3133-3170.
    21. Goncalves-Pinto, Luis & Sotes-Paladino, Juan & Xu, Jing, 2018. "The invisible hand of internal markets in mutual fund families," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 105-124.
    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. 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).
    2. 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).
    3. Fulkerson, Jon A. & Riley, Timothy B., 2019. "Portfolio concentration and mutual fund performance," Journal of Empirical Finance, Elsevier, vol. 51(C), pages 1-16.
    4. Eisele, Alexander & Nefedova, Tamara & Parise, Gianpaolo & Peijnenburg, Kim, 2020. "Trading out of sight: An analysis of cross-trading in mutual fund families," Journal of Financial Economics, Elsevier, vol. 135(2), pages 359-378.
    5. Teodor Dyakov & Marno Verbeek, 2019. "Can Mutual Fund Investors Distinguish Good from Bad Managers?," International Review of Finance, International Review of Finance Ltd., vol. 19(3), pages 505-540, September.
    6. Sara Ali & Ihsan Badshah & Riza Demirer & Prasad Hegde, 2023. "Economic policy uncertainty and fund flow performance sensitivity: Evidence from New Zealand," International Review of Finance, International Review of Finance Ltd., vol. 23(3), pages 666-679, September.
    7. Rakowski, David & Yamani, Ehab, 2021. "Endogeneity in the mutual fund flow–performance relationship: An instrumental variables solution," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 247-271.
    8. Khaled Obaid & Kuntara Pukthuanthong, 2021. "Informativeness of mutual fund advertisements: Does advertising communicate fund quality to investors?," Financial Management, Financial Management Association International, vol. 50(1), pages 203-236, March.
    9. Martin Rohleder & Dominik Schulte & Marco Wilkens, 2017. "Management of flow risk in mutual funds," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 31-56, January.
    10. Martin Rohleder & Dominik Schulte & Janik Syryca & Marco Wilkens, 2018. "Mutual Fund Stock†Picking Skill: New Evidence from Valuation†versus Liquidity†Motivated Trading," Financial Management, Financial Management Association International, vol. 47(2), pages 309-347, June.
    11. Alexander Eisele & Tamara Nefedova & Gianpaolo Parise, 2015. "Are Star Funds Really Shining? Cross-trading And Performance Shifting In Mutual Fund Families," Post-Print hal-01458357, HAL.
    12. Christopher P. Clifford & Jon A. Fulkerson & Russell Jame & Bradford D. Jordan, 2021. "Salience and Mutual Fund Investor Demand for Idiosyncratic Volatility," Management Science, INFORMS, vol. 67(8), pages 5234-5254, August.
    13. Wang, Cheng & Han, Jing, 2023. "Prospect theory and mutual fund flows: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    14. Javier Gil-Bazo & Juan F. Imbet, 2022. "Tweeting for Money: Social Media and Mutual Fund Flows," Working Papers 1366, Barcelona School of Economics.
    15. Pawel Maryniak & Rafal Weron, 2017. "Habitat momentum," HSC Research Reports HSC/17/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    16. Narasimhan Jegadeesh & Chandra Sekhar Mangipudi & Stijn Van Nieuwerburgh, 0. "What Do Fund Flows Reveal about Asset Pricing Models and Investor Sophistication?," Review of Economic Studies, Oxford University Press, vol. 34(1), pages 108-148.
    17. 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.
    18. 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.
    19. Timothy B. Riley, 2021. "Portfolios of actively managed mutual funds," The Financial Review, Eastern Finance Association, vol. 56(2), pages 205-230, May.
    20. Ming Gu & Minxing Sun & Yangru Wu & Weike Xu, 2021. "Economic policy uncertainty and momentum," Financial Management, Financial Management Association International, vol. 50(1), pages 237-259, March.

    More about this item

    Keywords

    Mutual funds; Performance; Flows; Sectors; Holdings;
    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

    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:ecofin:v:69:y:2024:i:pb:s1062940823001377. 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/inca/620163 .

    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.