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Local Ownership, Crises, and Asset Prices: Evidence from US Mutual Funds

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  • Mariassunta Giannetti
  • Luc Laeven

Abstract

We exploit the domestic portfolios of US mutual funds to provide microeconomic evidence that investors are more likely to liquidate geographically remote investments at times of high aggregate market volatility. This has important implications for asset prices. The valuations of stocks with ex ante less local ownership decline more when aggregate market volatility is high. Furthermore, the returns of stocks with geographically distant owners are more exposed to changes in aggregate market volatility.

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  • Mariassunta Giannetti & Luc Laeven, 2016. "Local Ownership, Crises, and Asset Prices: Evidence from US Mutual Funds," Review of Finance, European Finance Association, vol. 20(3), pages 947-978.
    • Handle: RePEc:oup:revfin:v:20:y:2016:i:3:p:947-978.
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    File URL: http://hdl.handle.net/10.1093/rof/rfv034
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    References listed on IDEAS

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    Cited by:

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    2. Sujoy Mukerji & Han N. Ozsoylev & Jean‐Marc Tallon, 2023. "Trading Ambiguity: A Tale Of Two Heterogeneities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1127-1164, August.
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    4. Jaspersen, Stefan & Limbach, Peter, 2018. "Knowing Me, Knowing You? Similarity to the CEO and Fund Managers' Investment Decisions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181501, Verein für Socialpolitik / German Economic Association.
    5. Claudiu Tiberiu Albulescu & Şerban Miclea & Simina Silvana Suciu & Matei Tămăşilă, 2018. "Firm-level investment in the extractive industry from CEE countries: the role of macroeconomic uncertainty and internal conditions," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 193-208, June.
    6. Eduard Gaar & David Scherer & Dirk Schiereck, 2022. "The home bias and the local bias: A survey," Management Review Quarterly, Springer, vol. 72(1), pages 21-57, February.
    7. Bekaert, Geert & Mehl, Arnaud, 2019. "On the global financial market integration “swoosh” and the trilemma," Journal of International Money and Finance, Elsevier, vol. 94(C), pages 227-245.
    8. Jess N. Cornaggia & Kimberly J. Cornaggia & Ryan D. Israelsen, 2020. "Where the Heart Is: Information Production and the Home Bias," Management Science, INFORMS, vol. 66(12), pages 5532-5557, December.
    9. David Ng & Ilhyock Shim & Jose Maria Vidal Pastor, 2019. "The role of different institutional investors in Asia-Pacific bond markets during the taper tantrum," BIS Papers chapters, in: Bank for International Settlements (ed.), Asia-Pacific fixed income markets: evolving structure, participation and pricing, volume 102, pages 113-142, Bank for International Settlements.
    10. Jaspersen, Stefan & Limbach, Peter, 2020. "Screening Discrimination in Financial Markets: Evidence from CEO-Fund Manager Dyads," CFR Working Papers 17-02, University of Cologne, Centre for Financial Research (CFR), revised 2020.
    11. 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).
    12. 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).
    13. Martin Jurkovic & Dirk Schiereck, 2023. "Internationale Büroimmobilien-Investoren: Preisprämien aufgrund von Selektionsverzerrungen? [International office investors: price premiums due to “selection bias”?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 9(1), pages 1-29, April.
    14. Taylan Mavruk, 2021. "Cross-Regional Differences in News Tone and Local Stock Ownership," Management Science, INFORMS, vol. 67(5), pages 3276-3298, May.
    15. Mavruk, Taylan, 2022. "Analysis of herding behavior in individual investor portfolios using machine learning algorithms," Research in International Business and Finance, Elsevier, vol. 62(C).
    16. Jeongseop Song & Kim Hiang Liow, 2023. "Industrial tail exposure risk and asset price: Evidence from US REITs," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(5), pages 1209-1245, September.

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