Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/zbw/cfrwps/1516.html
   My bibliography  Save this paper

Network centrality and pension fund performance

Author

Listed:
  • Rossi, Alberto G.
  • Blake, David
  • Timmermann, Allan
  • Tonks, Ian
  • Wermers, Russ
Abstract
We analyze the relation between the location of a pension fund in its network and the investment performance, risk taking, and flows of the fund. Our approach analyzes the centrality of the fund's management company by examining the number of connections it has with other management companies through their commonality in managing for the same fund sponsors or through the same fund consultants. Network centrality is found to be positively associated with risk-adjusted return performance and growth in assets under management, after controlling for size and past performance, for domestic asset classes; however, we do not find this relation for foreign equity holdings. These findings indicate that local information advantages, which are much stronger among managers holding locally based stocks, exhibit positive externalities among connected managers. Of particular note is that we do not find that the centrality of a manager within one asset class (e.g., domestic bonds) helps the performance of the manager in another asset class (e.g., domestic equity), further indicating that our network analysis uncovers information diffusion effects. Network connections established through consultants are found to be particularly significant in explaining performance and fund flows, consistent with consultants acting as an important information conduit through which managers learn about each other's actions. Moreover, the importance of network centrality is strongest for larger funds, controlling for any economic scale effects. Better connected funds are also better able to attract higher net inflows for a given level of past return performance. Finally, more centrally placed fund managers are less likely to be fired after spells of low performance. Our results indicate that networks in asset management are one key source of the dissemination of private information about security values.

Suggested Citation

  • Rossi, Alberto G. & Blake, David & Timmermann, Allan & Tonks, Ian & Wermers, Russ, 2015. "Network centrality and pension fund performance," CFR Working Papers 15-16, University of Cologne, Centre for Financial Research (CFR).
    • Handle: RePEc:zbw:cfrwps:1516
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/123714/1/841338175.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Banegas, Ayelen & Gillen, Ben & Timmermann, Allan & Wermers, Russ, 2013. "The cross section of conditional mutual fund performance in European stock markets," Journal of Financial Economics, Elsevier, vol. 108(3), pages 699-726.
    3. Allan Timmermann & David Blake, 2005. "International Asset Allocation with Time-Varying Investment Opportunities," The Journal of Business, University of Chicago Press, vol. 78(1), pages 71-98, January.
    4. JULES H. Van BINSBERGEN & MICHAEL W. BRANDT & RALPH S. J. KOIJEN, 2008. "Optimal Decentralized Investment Management," Journal of Finance, American Finance Association, vol. 63(4), pages 1849-1895, August.
    5. Khorana, Ajay, 2001. "Performance Changes following Top Management Turnover: Evidence from Open-End Mutual Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(3), pages 371-393, September.
    6. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    7. K. J. Martijn Cremers & Antti Petajisto, 2009. "How Active Is Your Fund Manager? A New Measure That Predicts Performance," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3329-3365, September.
    8. Judith Chevalier & Glenn Ellison, 1999. "Are Some Mutual Fund Managers Better Than Others? Cross‐Sectional Patterns in Behavior and Performance," Journal of Finance, American Finance Association, vol. 54(3), pages 875-899, June.
    9. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    10. Harry Mamaysky & Matthew Spiegel & Hong Zhang, 2008. "Estimating the Dynamics of Mutual Fund Alphas and Betas," The Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 233-264, January.
    11. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    12. Kang, Jun-Koo & Stulz, Rene M., 1997. "Why is there a home bias? An analysis of foreign portfolio equity ownership in Japan," Journal of Financial Economics, Elsevier, vol. 46(1), pages 3-28, October.
    13. Avramov, Doron & Wermers, Russ, 2006. "Investing in mutual funds when returns are predictable," Journal of Financial Economics, Elsevier, vol. 81(2), pages 339-377, August.
    14. David Blake & Alberto G. Rossi & Allan Timmermann & Ian Tonks & Russ Wermers, 2013. "Decentralized Investment Management: Evidence from the Pension Fund Industry," Journal of Finance, American Finance Association, vol. 68(3), pages 1133-1178, June.
    15. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.
    16. Sharpe, W F, 1981. "Decentralized Investment Management," Journal of Finance, American Finance Association, vol. 36(2), pages 217-234, May.
    17. Khorana, Ajay, 1996. "Top management turnover An empirical investigation of mutual fund managers," Journal of Financial Economics, Elsevier, vol. 40(3), pages 403-427, March.
    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. Anna Maria D’Arcangelis & Giulia Rotundo, 2016. "Complex Networks in Finance," Lecture Notes in Economics and Mathematical Systems, in: Pasquale Commendatore & Mariano Matilla-García & Luis M. Varela & Jose S. Cánovas (ed.), Complex Networks and Dynamics, pages 209-235, Springer.
    2. Neligh, Nathaniel, 2020. "Vying for dominance: An experiment in dynamic network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 719-739.

    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. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2016. "A review of behavioural and management effects in mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 162-176.
    2. Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021. "Picking funds with confidence," Journal of Financial Economics, Elsevier, vol. 139(1), pages 1-28.
    3. Zambrana, Rafael & Zapatero, Fernando, 2021. "A tale of two types: Generalists vs. specialists in asset management," Journal of Financial Economics, Elsevier, vol. 142(2), pages 844-861.
    4. Hunter, David & Kandel, Eugene & Kandel, Shmuel & Wermers, Russ, 2014. "Mutual fund performance evaluation with active peer benchmarks," Journal of Financial Economics, Elsevier, vol. 112(1), pages 1-29.
    5. DeMiguel, Victor & Gil-Bazo, Javier & Nogales, Francisco J. & Santos, André A.P., 2023. "Machine learning and fund characteristics help to select mutual funds with positive alpha," Journal of Financial Economics, Elsevier, vol. 150(3).
    6. 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.
    7. Ekholm, Anders G., 2012. "Portfolio returns and manager activity: How to decompose tracking error into security selection and market timing," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 349-358.
    8. Angelidis, Timotheos & Giamouridis, Daniel & Tessaromatis, Nikolaos, 2013. "Revisiting mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1759-1776.
    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. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can Machine Learning Help to Select Portfolios of Mutual Funds?," Working Papers 1245, Barcelona School of Economics.
    11. Christiansen, Charlotte & Grønborg, Niels S. & Nielsen, Ole L., 2020. "Mutual fund selection for realistically short samples," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 218-240.
    12. Jonathan B. Berk & Jules H. van Binsbergen, 2012. "Measuring Managerial Skill in the Mutual Fund Industry," NBER Working Papers 18184, National Bureau of Economic Research, Inc.
    13. Jiang, George J. & Zaynutdinova, Gulnara R. & Zhang, Huacheng, 2021. "Stock-selection timing," Journal of Banking & Finance, Elsevier, vol. 125(C).
    14. Gupta-Mukherjee, Swasti, 2013. "When active fund managers deviate from their peers: Implications for fund performance," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1286-1305.
    15. Javier Vidal-García & Marta Vidal & Sabri Boubaker & Riadh Manita, 2019. "Idiosyncratic risk and mutual fund performance," Annals of Operations Research, Springer, vol. 281(1), pages 349-372, October.
    16. Blake, David & Caulfield, Tristan & Ioannidis, Christos & Tonks, Ian, 2014. "Improved inference in the evaluation of mutual fund performance using panel bootstrap methods," Journal of Econometrics, Elsevier, vol. 183(2), pages 202-210.
    17. Bai, John (Jianqiu) & Ma, Linlin & Mullally, Kevin A. & Solomon, David H., 2019. "What a difference a (birth) month makes: The relative age effect and fund manager performance," Journal of Financial Economics, Elsevier, vol. 132(1), pages 200-221.
    18. Cathline Augustiani & Lorenzo Casavecchia & Jack Gray, 2015. "Managerial Sharing, Mutual Fund Connections, and Performance," International Review of Finance, International Review of Finance Ltd., vol. 15(3), pages 427-455, September.
    19. Bessler, Wolfgang & Blake, David & Lückoff, Peter & Tonks, Ian, 2010. "Why does mutual fund performance not persist? The impact and interaction of fund flows and manager changes," MPRA Paper 34185, University Library of Munich, Germany.
    20. Yue Xu, 2021. "Spillovers of Senior Mutual Fund Managers’ Capital Raising Ability," CREATES Research Papers 2022-03, Department of Economics and Business Economics, Aarhus University.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:cfrwps:1516. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/cfkoede.html .

    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.