IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipbs1544612323008358.html
   My bibliography  Save this article

Fund investor cliques and flow sensitivity—evidence from China

Author

Listed:
  • Guo, Xueting
  • Ma, Weichun
  • Liu, Xiaotong
  • Mo, Yan

Abstract

Although fund investor cliques have received widespread attention, their motives have not been thoroughly explored. We use a sample of actively managed open-end public equity funds in China during 2006 - 2020 to construct fund investor cliques. We then empirically examine the effect of fund flow characteristics on fund investor cliques. The empirical results show that the tendency of fund investor to clique is more pronounced when fund flows are more sensitive to fund performance. We also construct Reliance on Public Information (RPI) indicator as an instrumental variable to address the endogeneity problem in the empirical process.

Suggested Citation

  • Guo, Xueting & Ma, Weichun & Liu, Xiaotong & Mo, Yan, 2023. "Fund investor cliques and flow sensitivity—evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
  • Handle: RePEc:eee:finlet:v:58:y:2023:i:pb:s1544612323008358
    DOI: 10.1016/j.frl.2023.104463
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323008358
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104463?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. Marcin Kacperczyk & Amit Seru, 2007. "Fund Manager Use of Public Information: New Evidence on Managerial Skills," Journal of Finance, American Finance Association, vol. 62(2), pages 485-528, April.
    2. repec:bla:jfinan:v:53:y:1998:i:5:p:1589-1622 is not listed on IDEAS
    3. Crane, Alan D. & Koch, Andrew & Michenaud, Sébastien, 2019. "Institutional investor cliques and governance," Journal of Financial Economics, Elsevier, vol. 133(1), pages 175-197.
    4. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    5. Chengdong Yin, 2016. "The Optimal Size of Hedge Funds: Conflict between Investors and Fund Managers," Journal of Finance, American Finance Association, vol. 71(4), pages 1857-1894, August.
    6. Crawford, Steven S. & Gray, Wesley R. & Kern, Andrew E., 2017. "Why Do Fund Managers Identify and Share Profitable Ideas?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(5), pages 1903-1926, October.
    7. Chong Huang & Fei Li & Xi Weng, 2020. "Star Ratings and the Incentives of Mutual Funds," Journal of Finance, American Finance Association, vol. 75(3), pages 1715-1765, June.
    8. Franzoni, Francesco & Giannetti, Mariassunta, 2019. "Costs and benefits of financial conglomerate affiliation: Evidence from hedge funds," Journal of Financial Economics, Elsevier, vol. 134(2), pages 355-380.
    9. Rossi, Alberto G. & Blake, David & Timmermann, Allan & Tonks, Ian & Wermers, Russ, 2018. "Network centrality and delegated investment performance," Journal of Financial Economics, Elsevier, vol. 128(1), pages 183-206.
    10. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    11. Kraus, Alan & Stoll, Hans R., 1972. "Parallel Trading by Institutional Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(5), pages 2107-2138, December.
    12. Blocher, Jesse, 2016. "Network externalities in mutual funds," Journal of Financial Markets, Elsevier, vol. 30(C), pages 1-26.
    13. Bajo, Emanuele & Chemmanur, Thomas J. & Simonyan, Karen & Tehranian, Hassan, 2016. "Underwriter networks, investor attention, and initial public offerings," Journal of Financial Economics, Elsevier, vol. 122(2), pages 376-408.
    14. Ahern, Kenneth R., 2017. "Information networks: Evidence from illegal insider trading tips," Journal of Financial Economics, Elsevier, vol. 125(1), pages 26-47.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peng, Kai & Yu, Fang & Kong, Dongmin & Li, Yang & Geng, Ruihang, 2024. "Do government-guided funds "guide" the transregional mobility of capital? Evidence from cross-city equity investments," Finance Research Letters, Elsevier, vol. 66(C).
    2. Popescu, Marius & Xu, Zhaojin, 2024. "Mutual fund liquidity management and family affiliation," Finance Research Letters, Elsevier, vol. 66(C).
    3. Zhang, Yu & Zhao, Mengxiang, 2024. "Picking funds in China," Finance Research Letters, Elsevier, vol. 67(PA).
    4. Wang, Xiaowei & Wang, Rui & Zhang, Yichun, 2024. "Is there more to asset price linkages in China than meets the eye: Cross-asset momentum and the role of hybrid funds," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    5. Casavecchia, Lorenzo & Tiwari, Ashish, 2024. "Fund flow diversification: Implications for asset stability, fee-setting and performance," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    6. Chen, Baodong & Pan, Qiao & Wu, Shuai, 2024. "Can government guided funds alleviate corporate financing constraints? Evidence from China," Finance Research Letters, Elsevier, vol. 66(C).
    7. Zhang, Ping & Lv, Zi-Xu, 2024. "Is style drift informative? Evidence from mutual funds in China," Finance Research Letters, Elsevier, vol. 67(PA).

    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. Liu, Xiaotong & Wang, Jingda & Cao, Chang, 2024. "Mutual fund cliques, fund flow-performance sensitivity, and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Liu, Mengxi & Ding, Lili & Yang, Ying & Li, Hui, 2024. "Guidance or supervision: the impact of network relationship of institutional investors on corporate financialization," Finance Research Letters, Elsevier, vol. 65(C).
    3. Wang, Danxia, 2024. "Beyond active share: Boosting fund performance through common holdings with same-benchmark mutual funds," International Review of Financial Analysis, Elsevier, vol. 92(C).
    4. Lin, Huiting & Wang, Maolin & Ding, Ning, 2024. "The role of institutional investor cliques in managers' earnings forecasts," International Review of Financial Analysis, Elsevier, vol. 91(C).
    5. Chen, Xiao & Chong, Zhaohui & Giudici, Paolo & Huang, Bihong, 2022. "Network centrality effects in peer to peer lending," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    6. Wang, Xiaoxiao, 2023. "Bank affiliation and mutual funds’ trading strategy distinctiveness," International Review of Financial Analysis, Elsevier, vol. 88(C).
    7. Gong, Xiao-Li & Liu, Jia, 2023. "Institutional investor information network, analyst forecasting and stock price crash risk," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Guo, Xiaoping & Fan, Ningyuan & Liu, Zhenchun & Wang, Jianwei, 2024. "Macro topology structure and evolution of Chinese Public Funds’ Co-holding Network," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    9. Tsang, Kwok Ping & Yang, Zichao, 2022. "Do connections pay off in the bitcoin market?," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 1-18.
    10. Chen, Shenglan & Ma, Hui & Wu, Qiang & Zhang, Hao, 2023. "Does common ownership constrain managerial rent extraction? Evidence from insider trading profitability," Journal of Corporate Finance, Elsevier, vol. 80(C).
    11. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    12. Sergey Kovbasyuk & Marco Pagano, 2022. "Advertising Arbitrage [Synchronization risk and delayed arbitrage]," Review of Finance, European Finance Association, vol. 26(4), pages 799-827.
    13. Yan Zhang & Yuheng Liang, 2023. "Collusion or monitoring? Connected institutional investors and stock price crash risk in China," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(6), pages 901-923, November.
    14. Wang, Hu & Li, Shouwei & Ma, Yuyin, 2021. "Herding in Open-end Funds: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    15. J. Daniel AromÍ, 2017. "Conventional Views and Asset Prices: What to Expect After Times of Extreme Opinions?," Journal of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 49-73, May.
    16. Liang Wang & Yuanfei Wang & Bixiao Li, 2023. "The influence of the social networks of fund managers on the herding behavior of SIFs in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    17. Andrea Prat & Amil Dasgupta, 2005. "Reputation and Price Dynamics in Financial Markets," 2005 Meeting Papers 222, Society for Economic Dynamics.
    18. Yi, Li & Xiao, Li & Liao, Yinkai, 2024. "Network centrality, style drift, and mutual fund performance," Research in International Business and Finance, Elsevier, vol. 70(PA).
    19. Fenghua Wen & Yujie Yuan & Wei-Xing Zhou, 2019. "Cross-shareholding networks and stock price synchronicity: Evidence from China," Papers 1903.01655, arXiv.org.
    20. Edward L. Glaeser, 2004. "Psychology and the Market," American Economic Review, American Economic Association, vol. 94(2), pages 408-413, May.

    More about this item

    Keywords

    Public funds; Fund investor cliques; Fund flow sensitivity; RPI;
    All these keywords.

    JEL classification:

    • 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
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:finlet:v:58:y:2023:i:pb:s1544612323008358. 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/frl .

    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.