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The influence of the social networks of fund managers on the herding behavior of SIFs in China

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Listed:
  • Liang Wang

    (Xi’an University of Technology)

  • Yuanfei Wang

    (Xi’an University of Technology)

  • Bixiao Li

    (Xi’an University of Technology)

Abstract

This paper explores the influence of fund managers’ social networks on the herding behavior of securities investment funds (SIFs) in China. Using the data of Chinese SIFs in recent years as a sample, it adopts the CSAD model to measure SIFs’ herding behavior. Combining indicators such as social network centrality, constraint, and size, it constructs a regression model of the influence of fund managers’ social networks on the herding behavior of SIFs and conducts an empirical study. The heterogeneity of this influence is investigated in four dimensions, degree of herding behavior, gender, diploma, and region. The results show that: (i) The larger the social network size of fund managers, the lower the degree of herding behavior of fund managers, but the effect of the network constraint on the degree of herding behavior is not significant. (ii) When the degree of herding behavior of SIFs is high, the effect of network size on herding behavior is heterogeneous. (iii) The relationship between the social network of male fund managers and the degree of herding behavior is more significant than that of female fund managers, as network size is significant for male fund managers, while the regression results of social network centrality, network constraint, network size, and the degree of herding behavior of female fund managers are all not significant. (iv) The social network of the fund manager with a master’s degree has a significant impact on the herding behavior of SIFs, which is not significant in fund managers with Ph.D.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01675-1
    DOI: 10.1057/s41599-023-01675-1
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    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. Calluzzo, Paul & Kedia, Simi, 2019. "Mutual fund board connections and proxy voting," Journal of Financial Economics, Elsevier, vol. 134(3), pages 669-688.
    4. Ernst Maug & Narayan Naik, 2011. "Herding and Delegated Portfolio Management: The Impact of Relative Performance Evaluation on Asset Allocation," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 1(02), pages 265-292.
    5. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2008. "The Small World of Investing: Board Connections and Mutual Fund Returns," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 951-979, October.
    6. Jongha Lim & Berk A. Sensoy & Michael S. Weisbach, 2016. "Indirect Incentives of Hedge Fund Managers," Journal of Finance, American Finance Association, vol. 71(2), pages 871-918, April.
    7. Paolo Colla & Antonio Mele, 2010. "Information Linkages and Correlated Trading," The Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 203-246, January.
    8. Bolton, Patrick & Scharfstein, David S, 1990. "A Theory of Predation Based on Agency Problems in Financial Contracting," American Economic Review, American Economic Association, vol. 80(1), pages 93-106, March.
    9. Lin, Junqin & Wang, Fan & Wei, Lijian, 2021. "Alumni social networks and hedge fund performance: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
    10. Ukpong, Idibekeabasi & Tan, Handy & Yarovaya, Larisa, 2021. "Determinants of industry herding in the US stock market," Finance Research Letters, Elsevier, vol. 43(C).
    11. Guan, Yuyan & Su, Lixin (Nancy) & Wu, Donghui & Yang, Zhifeng, 2016. "Do school ties between auditors and client executives influence audit outcomes?," Journal of Accounting and Economics, Elsevier, vol. 61(2), pages 506-525.
    12. Cheng, Tingting & Xing, Shuo & Yao, Wenying, 2022. "An examination of herding behaviour of the Chinese mutual funds: A time-varying perspective," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    13. Cui, Yueting & Gebka, Bartosz & Kallinterakis, Vasileios, 2019. "Do closed-end fund investors herd?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 194-206.
    14. Han N. Ozsoylev & Johan Walden & M. Deniz Yavuz & Recep Bildik, 2014. "Investor Networks in the Stock Market," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1323-1366.
    15. Veronika K. Pool & Noah Stoffman & Scott E. Yonker, 2015. "The People in Your Neighborhood: Social Interactions and Mutual Fund Portfolios," Journal of Finance, American Finance Association, vol. 70(6), pages 2679-2732, December.
    16. Spilker, Harold D., 2022. "Hedge fund family ties," Journal of Banking & Finance, Elsevier, vol. 134(C).
    17. 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.
    18. 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.
    19. Haifei Liu & Kai Liu & Dongxin Li & Yixuan Li, 2020. "Fund Managers’ Association Networks, Information Sharing and Fund Performance," Applied Economics Letters, Taylor & Francis Journals, vol. 27(10), pages 841-847, June.
    20. Tan, Lin & Chiang, Thomas C. & Mason, Joseph R. & Nelling, Edward, 2008. "Herding behavior in Chinese stock markets: An examination of A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 61-77, January.
    21. Gottesman, Aron A. & Morey, Matthew R., 2006. "Manager education and mutual fund performance," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 145-182, March.
    22. Alexandra Niessen-Ruenzi & Stefan Ruenzi, 2019. "Sex Matters: Gender Bias in the Mutual Fund Industry," Management Science, INFORMS, vol. 65(7), pages 3001-3025, July.
    23. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    24. Economou, Fotini & Kostakis, Alexandros & Philippas, Nikolaos, 2011. "Cross-country effects in herding behaviour: Evidence from four south European markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 443-460, July.
    25. Baltakys, Kȩstutis & Baltakienė, Margarita & Kärkkäinen, Hannu & Kanniainen, Juho, 2019. "Neighbors matter: Geographical distance and trade timing in the stock market," Finance Research Letters, Elsevier, vol. 31(C).
    26. 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.
    27. Josef Lakonishok & Andrei Shleifer & Robert W. Vishny, 1992. "The Structure and Performance of the Money Management Industry," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(1992 Micr), pages 339-391.
    28. 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).
    29. Caglayan, Mustafa Onur & Hu, Yu & Xue, Wenjun, 2021. "Mutual fund herding and return comovement in Chinese equities," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    30. Gong, Qingbin & Diao, Xundi, 2023. "The impacts of investor network and herd behavior on market stability: Social learning, network structure, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1388-1398.
    31. Zhou, Qi & Sun, Shaolong & Liu, Qian, 2019. "The capital flow of stock market studies based on epidemic model with double delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    32. Fang, Hao & Shen, Chung-Hua & Lee, Yen-Hsien, 2017. "The dynamic and asymmetric herding behavior of US equity fund managers in the stock market," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 353-369.
    33. Stanley M. Atkinson & Samantha Boyce Baird & Melissa B. Frye, 2003. "Do Female Mutual Fund Managers Manage Differently?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(1), pages 1-18, March.
    34. Charness, Gary & Gneezy, Uri, 2012. "Strong Evidence for Gender Differences in Risk Taking," Journal of Economic Behavior & Organization, Elsevier, vol. 83(1), pages 50-58.
    35. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
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