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Local investors, price discovery, and market efficiency

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  • Shive, Sophie

Abstract

This study examines the effect of locally informed investors on market efficiency and stock prices using large power outages, which are exogenous events that constrain trading. Turnover in stocks headquartered in an outage area with 0.5% of U.S. electrical customers drops by 3–7% on the first full day of the outage, and bid–ask spreads narrow by 2.5%. Firm-specific price volatility is 2.3% lower on blackout dates. This effect is larger for smaller, lesser-known stocks and in higher income areas. Consistent with a valuation discount and higher expected returns for stocks with more informed traders, firms with a one-standard-deviation higher local trading propensity have market-to-book values that are 5% lower, Tobin's Q that is 6% lower, annualized four-factor alphas that are 1.2% higher, and average spreads that are 6.5% higher. Together, the evidence suggests that informed investors contribute disproportionately to both liquidity and price discovery, and that these contributions are reflected in valuations and expected returns.

Suggested Citation

  • Shive, Sophie, 2012. "Local investors, price discovery, and market efficiency," Journal of Financial Economics, Elsevier, vol. 104(1), pages 145-161.
  • Handle: RePEc:eee:jfinec:v:104:y:2012:i:1:p:145-161
    DOI: 10.1016/j.jfineco.2011.12.003
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    Cited by:

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    3. Ahmed Baig & Jason Berkowitz & Ronald Jared DeLisle & Todd Griffith, 2023. "COVID‐19 intensity across U.S. states and the liquidity of U.S. equity markets," The Financial Review, Eastern Finance Association, vol. 58(2), pages 235-259, May.
    4. Bing, Tao & Ma, Hongkun, 2021. "COVID-19 pandemic effect on trading and returns: Evidence from the Chinese stock market," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 384-396.
    5. Wu, Qinqin & Chou, Robin K. & Lu, Jing, 2020. "How does air pollution-induced fund-manager mood affect stock markets in China?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    6. Berry, Thomas & Gamble, Keith Jacks, 2013. "Informed local trading prior to earnings announcements," Journal of Financial Markets, Elsevier, vol. 16(3), pages 505-525.
    7. Chu, Gang & Dowling, Michael & Shen, Dehua & Zhang, Yongjie, 2023. "Information demand density matters: Evidence from the post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 86(C).
    8. Hao Gao & Yuanyu Qu & Tao Shen, 2022. "Geographic proximity and price efficiency: Evidence from high‐speed railway connections between firms and financial centers," Financial Management, Financial Management Association International, vol. 51(1), pages 117-141, March.
    9. Xuan Vinh Vo, 2023. "Large Shareholders And Information Asymmetry In A Transition Economy €“ Evidence From Vietnam," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 68(05), pages 1551-1567, September.
    10. Lien, Donald & Hung, Pi-Hsia & Lin, Zong-Wei, 2020. "Whose trades move stock prices? Evidence from the Taiwan Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 25-50.
    11. 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.
    12. Meng, Yun & Pantzalis, Christos, 2018. "Monthly cyclicality in retail Investors’ liquidity and lottery-type stocks at the turn of the month," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 176-191.
    13. Gennaro Bernile & Alok Kumar & Johan Sulaeman & Qin Wang, 2019. "Has local informational advantage disappeared?," Review of Financial Economics, John Wiley & Sons, vol. 37(1), pages 38-60, January.
    14. Kaustia, Markku & Rantapuska, Elias, 2016. "Does mood affect trading behavior?," Journal of Financial Markets, Elsevier, vol. 29(C), pages 1-26.
    15. Baltzer, Markus & Stolper, Oscar & Walter, Andreas, 2013. "Is local bias a cross-border phenomenon? Evidence from individual investors’ international asset allocation," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2823-2835.
    16. 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).
    17. David Rakowski & Sara E. Shirley & Jeffrey R. Stark, 2021. "Twitter activity, investor attention, and the diffusion of information," Financial Management, Financial Management Association International, vol. 50(1), pages 3-46, March.
    18. 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).
    19. Wu, Qinqin & Hao, Ying & Lu, Jing, 2018. "Air pollution, stock returns, and trading activities in China," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 342-365.
    20. Donald Lien & Pi-Hsia Hung, 2023. "Whose trades contribute more to price discovery? Evidence from the Taiwan stock exchange," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 213-263, July.
    21. 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.
    22. Nguyen, Phuong-Anh & Kecskés, Ambrus & Mansi, Sattar, 2020. "Does corporate social responsibility create shareholder value? The importance of long-term investors," Journal of Banking & Finance, Elsevier, vol. 112(C).

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    More about this item

    Keywords

    Local bias; Market efficiency; Adverse selection;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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