IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v33y2020i10p4771-4810..html

Home Bias and Local Contagion: Evidence from Funds of Hedge Funds

Author

Listed:
  • Clemens Sialm
  • Zheng Sun
  • Lu Zheng

Abstract

Our paper analyzes the geographical preferences of hedge fund investors and the implication of these preferences for hedge fund performance. We find that funds of hedge funds overweigh their investments in hedge funds located in the same geographical areas and that funds with a stronger local bias exhibit superior performance. Local bias also gives rise to excess flow comovement and extreme return clustering within geographic areas. Overall, our results suggest that while funds of funds benefit from local advantages, their local bias also creates market segmentation that can destabilize the underlying hedge funds.

Suggested Citation

  • Clemens Sialm & Zheng Sun & Lu Zheng, 2020. "Home Bias and Local Contagion: Evidence from Funds of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4771-4810.
  • Handle: RePEc:oup:rfinst:v:33:y:2020:i:10:p:4771-4810.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhz138
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Kong, Dongmin & Zhao, Zhao, 2024. "Overseas exposures, global events, and mutual fund performance," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 848-863.
    2. Jennie Bai & Massimo Massa, 2021. "Is Human-Interaction-based Information Substitutable? Evidence from Lockdown," NBER Working Papers 29513, National Bureau of Economic Research, Inc.
    3. Dandan Wang & Jörg Prokop, 2025. "Gender homophily and local bias in equity crowdfunding," Small Business Economics, Springer, vol. 64(3), pages 805-836, March.
    4. Massa, Massimo & Bai, Jennie, 2021. "Is Hard and Soft Information Substitutable? Evidence from the Lockdowns," CEPR Discussion Papers 15744, C.E.P.R. Discussion Papers.
    5. Yoko Shinagawa, 2014. "Determinants of Financial Market Spillovers: The Role of Portfolio Diversification, Trade, Home Bias, and Concentration," IMF Working Papers 2014/187, International Monetary Fund.
    6. Lambert, Claudia & Molestina Vivar, Luis & Wedow, Michael, 2024. "Is home bias biased? New evidence from the investment fund sector," Working Paper Series 2924, European Central Bank.
    7. Kuang, Chun & Liu, Zijie & Zhu, Wenyu, 2021. "Need for speed: High-speed rail and firm performance," Journal of Corporate Finance, Elsevier, vol. 66(C).
    8. George O. Aragon & Ji-Woong Chung & Byoung Uk Kang, 2023. "Do Prime Brokers Matter in the Search for Informed Hedge Fund Managers?," Management Science, INFORMS, vol. 69(8), pages 4932-4952, August.
    9. Tian, Yonggang & Ang, James S. & Fu, Panpan & Ma, Chaoqun & Wang, Xiuhua, 2024. "Does social trust mitigate insiders' opportunistic behaviors? Evidence from insider trading," Global Finance Journal, Elsevier, vol. 59(C).
    10. Socaciu, Erzsébet-Mirjám & Nagy, Bálint-Zsolt & Benedek, Botond, 2023. "No place like home: Home bias and flight-to-quality in Group of Seven countries," Economic Modelling, Elsevier, vol. 129(C).
    11. Lee, Jennifer Eunkyeong & Cho, Hoon & Ryu, Doojin & Seok, Sangik, 2023. "Does performance-chasing behavior matter? International evidence," Journal of Multinational Financial Management, Elsevier, vol. 68(C).
    12. Lee, Junyong & Lee, Kyounghun & Oh, Frederick Dongchuhl, 2023. "International portfolio diversification and the home bias puzzle," Research in International Business and Finance, Elsevier, vol. 64(C).
    13. Lan, Ge & Li, Donghui & Yang, Shijie, 2023. "Costs of voting and firm performance: Evidence from RegTech adoption in Chinese listed firms," Research in International Business and Finance, Elsevier, vol. 64(C).
    14. Agarwal, Vikas & Mullally, Kevin A. & Naik, Narayan Y., 2015. "The Economics and Finance of Hedge Funds: A Review of the Academic Literature," Foundations and Trends(R) in Finance, now publishers, vol. 10(1), pages 1-111, December.
    15. Benhima, Kenza & Bolliger, Elio, 2022. "Do Local Forecasters Have Better Information?," MPRA Paper 117072, University Library of Munich, Germany, revised Sep 2023.
    16. Fijorek, Kamil & Jurkowska, Aleksandra & Jonek-Kowalska, Izabela, 2021. "Financial contagion between the financial and the mining industries – Empirical evidence based on the symmetric and asymmetric CoVaR approach," Resources Policy, Elsevier, vol. 70(C).
    17. Knill, April & Liu, Baixiao & McConnell, John J. & McKenzie, Glades, 2024. "The influence of media slant on short sellers," Journal of Corporate Finance, Elsevier, vol. 84(C).
    18. Agarwal, Vikas & Aragon, George O. & Shi, Zhen, 2015. "Funding liquidity risk of funds of hedge funds: Evidence from their holdings," CFR Working Papers 15-12, University of Cologne, Centre for Financial Research (CFR).
    19. Liang, Quanxi & Jin, Qi & Lu, Meiting & Shan, Yaowen, 2023. "When school ties meet geography: Education-province bias in mutual fund portfolios," Journal of Banking & Finance, Elsevier, vol. 157(C).
    20. Wallmeier, Martin & Iseli, Christoph, 2022. "Home bias and expected returns: A structural approach," Journal of International Money and Finance, Elsevier, vol. 124(C).
    21. David C. Ling & Chongyu Wang & Tingyu Zhou, 2023. "How do institutional investors react to local shocks during a crisis? A test using the COVID‐19 pandemic," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(5), pages 1246-1284, September.
    22. Chen, Qingchong & Xiong, Xiong & Gao, Ya & Zhang, Yumeng, 2025. "Birthplace bias, familiarity and portfolio choice," International Review of Financial Analysis, Elsevier, vol. 105(C).

    More about this item

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • 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:oup:rfinst:v:33:y:2020:i:10:p:4771-4810.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.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.