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The Trading Volume Impact of Local Bias: Evidence from a Natural Experiment

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  • Heiko Jacobs
  • Martin Weber

Abstract

Exploiting regional holidays in Germany as a source of exogenous cross-sectional variation in investor attention, we provide evidence that the well-known local bias at the individual level materially affects stock turnover at the firm level. Stocks of firms located in holiday regions are temporarily strikingly less traded than otherwise very similar stocks in non-holiday regions. This negative turnover shock survives comprehensive tests for differences in information release. It appears particularly pronounced in stocks less visible to nonlocal investors and for smaller stocks disproportionately driven by retail investors. Our findings contribute to research on local bias, trading activity, and investor distraction. Copyright 2012, Oxford University Press.

Suggested Citation

  • Heiko Jacobs & Martin Weber, 2012. "The Trading Volume Impact of Local Bias: Evidence from a Natural Experiment," Review of Finance, European Finance Association, vol. 16(4), pages 867-901.
    • Handle: RePEc:oup:revfin:v:16:y:2012:i:4:p:867-901
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    File URL: http://hdl.handle.net/10.1093/rof/rfr022
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    Cited by:

    1. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
    2. Möhlmann, Axel, 2013. "Investor home bias and sentiment about the country benefiting from the tax revenue," Journal of Economic Psychology, Elsevier, vol. 35(C), pages 31-46.
    3. 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.
    4. Manuela Geranio & Valter Lazzari, 2019. "Stress Testing the Equity Home Bias: A Turnover Analysis of Eurozone Markets," BAFFI CAREFIN Working Papers 19114, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Peillex, Jonathan & El Ouadghiri, Imane & Gomes, Mathieu & Jaballah, Jamil, 2021. "Extreme heat and stock market activity," Ecological Economics, Elsevier, vol. 179(C).
    6. Ivan Indriawan & Feng Jiao & Yiuman Tse, 2019. "The impact of the US stock market opening on price discovery of government bond futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 779-802, July.
    7. Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
    8. Dong, Dayong & Jiang, Danling & Wu, Keke & Zhu, Hongquan, 2024. "Game in another town: Geography of stock watchlists and firm valuation," Journal of Banking & Finance, Elsevier, vol. 163(C).
    9. Geranio, Manuela & Lazzari, Valter, 2019. "Stress testing the equity home bias: A turnover analysis of Eurozone markets," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 70-85.
    10. Michael Ehrmann & David‐Jan Jansen, 2017. "The Pitch Rather Than the Pit: Investor Inattention, Trading Activity, and FIFA World Cup Matches," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 807-821, June.
    11. Dimpfl Thomas & Kleiman Vladislav, 2019. "Investor Pessimism and the German Stock Market: Exploring Google Search Queries," German Economic Review, De Gruyter, vol. 20(1), pages 1-28, February.
    12. Kaustia, Markku & Rantapuska, Elias, 2016. "Does mood affect trading behavior?," Journal of Financial Markets, Elsevier, vol. 29(C), pages 1-26.
    13. Cahill, Daniel & Ho, Choy Yeing (Chloe) & Yang, Joey W., 2022. "The COVID-19 pandemic: How important is face-to-face interaction for information dissemination?," Global Finance Journal, Elsevier, vol. 54(C).
    14. Brown, Nerissa C. & Elliott, W. Brooke & Wermers, Russ & White, Roger M., 2021. "News or noise: Mobile internet technology and stock market activity," CFR Working Papers 21-10, University of Cologne, Centre for Financial Research (CFR).
    15. Nerissa C. Brown & Han Stice & Roger M. White, 2015. "Mobile Communication and Local Information Flow: Evidence from Distracted Driving Laws," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 275-329, May.

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