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Can Fund Networks Improve Investment Performance? |
CHEN Shenglan, LI Jing
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School of Economics, Zhejiang University of Technology; School of Economics and Management, Inner Mongolia University |
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Abstract Institutional investors managing public funds are rapidly becoming a crucial part of financial markets. Accordingly, there is widespread interest in how these fund managers make investment decisions. Recent studies show that due to the complementarity of information structures, social networks play an important role in fund managers' asset allocation and diversification decisions. We focus on how an important social network-enabled interaction between funds—the fund holdings network—affects the investment performance of funds. There are different theoretical perspectives on how a fund's co-ownership network affects investment performance. On the one hand, such networks produce information diffusion effects, and fund managers at the center of a fund network will receive signals earlier and obtain more valuable information than fund managers at the periphery of the network. Furthermore, the information held by fund managers at the center of the network will be more accurate, which will have a positive impact on the investment performance of their funds. On the other hand, a fund network can induce the “free riding on friends” effect. Compared with fund managers at the periphery of the network, fund managers at the center of the network support more “free riders”. Under this condition, the fund network may have a negative impact on their fund performance. We use data on China's capital market stock funds from January 2005 to September 2018 to examine the impact of fund networks on investment performance. The results show that the centrality of a fund's position in a fund network has a significant positive impact on its investment performance. The results have obvious economic significance: we find that an increase of one standard deviation in the degree, closeness, or eigenvector measures of a fund's position in the network increases investment performance by an average of 54.43%, 51.15%, and 50.93% respectively. We also examine the channels through which network position affects performance. Specially, we examine fund stock selection skills, asset allocation skills, and fund management skills. First, institutional investors located at the center of a network receive rich, accurate, and timely information about stock pricing. This information can promote fund managers' analyses and mastery of stock fundamentals, thereby improving their stock selection skills. Second, the transmission of information between funds is an important factor that affects managers' asset allocation strategy. Fund managers located at the center of a network have more accurate information and can use their information to allocate assets independently and effectively, that is, they have improved asset allocation skills. Third, social networks can promote the dissemination of information, thereby improving managers' fund management skills. Finally, we examine the influence of fund networks on fund shares, which we define as a fund's market share. A fund network provides channels for the dissemination and exchange of information. Fund managers at the center of a network receive faster and more valuable information, which allows them to implement high-quality portfolio management and product differentiation strategies. High-quality portfolio management and product differentiation are effective strategies for gaining market share. This study shows that fund networks have a significant positive impact on funds' market share. This research makes two major contributions. First, we contribute to the literature on the interactions between institutional investors' shareholdings. Most studies have assumed that institutional investors are homogeneous, and there is a lack of research on the heterogeneity of institutional investors and their interactions. We expand this field by constructing a model of a dynamic co-ownership fund network. The fund network allows for the exchange of information between co-ownership funds, reflects the interactions between institutional investors, and distinguishes institutional investors' holdings on the basis of their network location. Using a series of centrality measurement methods, we examine the effects of network location on a fund's ability to obtain information and take actions. Second, we contribute to the research on the impact of social relationships on investment performance by examining the impact of social networks on performance from the perspective of dynamic institutional investor interactions. We build a model of fund networks to illustrate dynamic institutional investor shareholding interaction, and examine its impact on fund investment performance. We find that in a fund network based on co-ownership, positive information diffusion effects dominate, which leads to better investment performance for funds with more relationships. In addition, the social interaction between funds in a network improve the managers' stock selection skills, asset allocation skills, and management skills, which ultimately improve the funds' investment performance.
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Received: 16 January 2020
Published: 02 July 2021
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[1] |
陈新春、刘阳和罗荣华,2017,《机构投资者信息共享会引来黑天鹅吗?——基金信息网络与极端市场风险》,《金融研究》第7期,第140~155页。
|
[2] |
孔东民、刘莎莎、陈小林和邢精平,2015,《个体沟通、交易行为与信息优势:基于共同基金访问的证据》,《经济研究》第11期,第106~119页。
|
[3] |
刘京军和苏楚林,2016,《传染的资金:基于网络结构的基金资金流量及业绩影响研究》,《管理世界》第1期,第54~65页。
|
[4] |
罗荣华、田正磊和方红艳,2020,《“和而不群”还是“卓尔不群”?——基于基金网络信息使用的视角》,《金融研究》第8期,第188~206页。
|
[5] |
申宇、赵静梅和何欣,2016,《校友关系网络,基金投资业绩与“小圈子”效应》,《经济学(季刊)》第1期,第403~428页。
|
[6] |
Agarwal, V., T. Clifton Green, and H. Ren. 2018. “Alpha or Beta in the Eye of the Beholder: What Drives Hedge Fund Flows?”, Journal of Financial Economics, 127(3): 417~434.
|
[7] |
Berk, Jonathan B., and Jules H. van Binsbergen. 2015. “Measuring Skill in the Mutual Fund Industry”, Journal of Financial Economics, 118(1): 1~20.
|
[8] |
Bikhchandani, S., D. Hirshleifer, and I. Welch. 1992. “A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades”, Journal of Political Economy, 100(5): 992~1026.
|
[9] |
Borgatti, Stephen P., and Daniel S. Halgin. 2011. “On Network Theory”, Organization Science, 22(5): 1168~1181.
|
[10] |
Bregnard, N., and C. Salva. 2019. “Pension Fund Board Governance and Asset Allocation: Evidence from Switzerland”, Working Paper.
|
[11] |
Brinson, Gary P., L. Randolph Hood, and Gilbert L. Beebower. 1986. “Determinants of Portfolio Performanc”, Financial Analysts Journal, (7-8): 40~44.
|
[12] |
Bushee, Brian J., and Theodore H. Goodman. 2007. “Which Institutional Investors Trade Based on Private Information about Earnings and Returns?”, Journal of Accounting Research, 45(2): 289~321.
|
[13] |
Cohen, L., A. Frazzini, and C. Malloy. 2008. “The Small World of Investing: Board Connections and Mutual Fund Returns”, Journal of Political Economy, 116(5): 951~979.
|
[14] |
Crane, Alan D., A. Koch, and S. Michenaud. 2019. “Institutional Investor Cliques and Governance”, Journal of Financial Economics, 133(1): 175~197.
|
[15] |
Edmans, A., and Clifford G. Holderness. 2017. “Blockholders: A Survey of Theory and Evidence”, In The Handbook of the Economics of Corporate Governance(Vol. 1, pp. 541~636). North-Holland.
|
[16] |
Giroud, X., and Holger M. Mueller. 2019. “Firms' Internal Networks and Local Economic Shocks”, American Economic Review, 109(10): 3617~49.
|
[17] |
Han, B., and L. Yang. 2013. “Social Networks, Information Acquisition, and Asset Prices”, Management Science, 59(6): 1444~1457.
|
[18] |
Hochberg, Yael V., A. Ljungqvist, and Y. Lu. 2007. “Whom You Know Matters: Venture Capital Networks and Investment Performance”, The Journal of Finance, 62(1): 251~301.
|
[19] |
Hong, H., Jeffrey D. Kubik, and Jeremy C. Stein. 2005. “Thy Neighbor's Portfolio: Word-of-mouth Effects in the Holdings and Trades of Money Managers”, The Journal of Finance, 60(6): 2801~2824.
|
[20] |
Khorana, A., and H. Servaes. 2012. “What Drives Market Share in the Mutual Fund Industry?”, Review of Finance, 16(1): 81~113.
|
[21] |
Moreno, D., R. Rodriguez, and R. Zambrana. 2018. “Management Sub-advising in the Mutual Fund Industry”, Journal of Financial Economics, 127(3): 567~587.
|
[22] |
Ozsoylev, Han N., J. Walden, M. Deniz Yavuz, and R. Bildik. 2014. “Investor Networks in the Stock Market”, The Review of Financial Studies, 27(5): 1323~1366.
|
[23] |
Pool, Veronika K., N. Stoffman, and Scott E. Yonker. 2015. “The People in Your Neighborhood: Social Interactions and Mutual Fund Portfolios”, The Journal of Finance, 70(6): 2679~2732.
|
[24] |
Rossi, Alberto G., D. Blake, A. Timmermann, I. Tonks, and R. Wermers. 2018. “Network Centrality and Delegated Investment Performance”, Journal of Financial Economics, 128(1): 183~206.
|
[25] |
Shiller, Robert J., and J. Pound. 1989. “Survey Evidence on Diffusion of Interest and Information among Investors”, Journal of Economic Behavior & Organization, 12(1): 47~66.
|
[26] |
Stein, Jeremy C. 2008. “Conversations among Competitors”, American Economic Review, 98(5): 2150~62.
|
[27] |
Zhu, A. 2016. “Social Connections and Information Production: Evidence from Mutual Fund Portfolios and Performance”, Working Paper.
|
|
|
|