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Asymmetric Attention and Stock Returns

Author

Listed:
  • Peter Cziraki

    (University of Toronto, Toronto, Ontario M5S 3G7, Canada;)

  • Jordi Mondria

    (University of Toronto, Toronto, Ontario M5S 3G7, Canada;)

  • Thomas Wu

    (Verde Asset Management, Sao Paulo 04542-000, Brazil)

Abstract

This paper constructs a new measure of attention allocation by local investors relative to nonlocals using aggregate search volume from Google. We first present a conceptual framework in which local investors optimally choose to focus their attention on local stocks when they receive private news, leading to an asymmetric allocation of attention between local and nonlocal investors. Consistent with the main prediction of this framework, we find that firms attracting abnormally high asymmetric attention from local relative to nonlocal investors earn higher returns. A portfolio that goes long in stocks with high asymmetric attention and short in stocks with low asymmetric attention has an alpha of 32 basis points per month. The results are stronger for stocks with a greater degree of information friction. The new measure of asymmetric attention allows one to infer the arrival of unobservable private information by observing investors’ attention allocation behavior.

Suggested Citation

  • Peter Cziraki & Jordi Mondria & Thomas Wu, 2021. "Asymmetric Attention and Stock Returns," Management Science, INFORMS, vol. 67(1), pages 48-71, January.
  • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:1:p:48-71
    DOI: 10.1287/mnsc.2019.3460
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    6. David C. Ling & Chongyu Wang & Tingyu Zhou, 2022. "Asset productivity, local information diffusion, and commercial real estate returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 89-121, March.
    7. Latoeiro, Pedro & Ramos, Sofía B. & Veiga, Helena, 2013. "Predictability of stock market activity using Google search queries," DES - Working Papers. Statistics and Econometrics. WS ws130605, Universidad Carlos III de Madrid. Departamento de Estadística.
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    9. Jordi Mondria & Thomas Wu, 2013. "Imperfect financial integration and asymmetric information: competing explanations of the home bias puzzle?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(1), pages 310-337, February.
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    11. Jordi Mondria & Thomas Wu, 2012. "Familiarity and Surprises in International Financial Markets: Bad news travels like wildfire, good news travels slow," 2012 Meeting Papers 50, Society for Economic Dynamics.
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