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Disclosure Standards and the Sensitivity of Returns to Mood

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  • Brian J. Bushee
  • Henry L. Friedman

Abstract

We provide evidence that higher-quality disclosure standards are associated with stock returns that are less sensitive to noise driven by investors' moods. We identify return-mood sensitivity (RMS) based on the association between index returns and urban cloudiness, a source of short-term variation in mood. Based on a stylized model, we predict and find evidence consistent with higher-quality disclosure standards reducing RMS by tilting susceptible investors' trades toward information and by facilitating sophisticated investors' arbitrage. Our findings suggest that disclosure standards play an important role in enhancing price efficiency by reducing noise in returns, particularly noise related to investors' short-term moods. Received January 31, 2014; accepted August 5, 2015 by Editor David Hirshleifer.

Suggested Citation

  • Brian J. Bushee & Henry L. Friedman, 2016. "Disclosure Standards and the Sensitivity of Returns to Mood," The Review of Financial Studies, Society for Financial Studies, vol. 29(3), pages 787-822.
  • Handle: RePEc:oup:rfinst:v:29:y:2016:i:3:p:787-822.
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    File URL: http://hdl.handle.net/10.1093/rfs/hhv054
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    Citations

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    Cited by:

    1. Chhaochharia, Vidhi & Kim, Dasol & Korniotis, George M. & Kumar, Alok, 2019. "Mood, firm behavior, and aggregate economic outcomes," Journal of Financial Economics, Elsevier, vol. 132(2), pages 427-450.
    2. Ed Dehaan & Joshua Madsen & Joseph D. Piotroski, 2017. "Do Weather‐Induced Moods Affect the Processing of Earnings News?," Journal of Accounting Research, Wiley Blackwell, vol. 55(3), pages 509-550, June.
    3. Sirio Aramonte & Frank Packer, 2022. "Information governance in sustainable finance," BIS Papers, Bank for International Settlements, number 132.
    4. Bertrand, Jérémie & Weill, Laurent, 2023. "Too sunny to borrow: Sunshine and borrower discouragement," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Roland Füss & Massimo Guidolin & Christian Koeppel, 2019. "Sentiment Risk Premia In The Cross-Section of Global Equity," Working Papers on Finance 1913, University of St. Gallen, School of Finance, revised May 2020.
    6. Xu, Hai-Chuan & Zhou, Wei-Xing, 2018. "A weekly sentiment index and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 27(C), pages 135-139.
    7. Bushee, Brian & Cedergren, Matthew & Michels, Jeremy, 2020. "Does the media help or hurt retail investors during the IPO quiet period?," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    8. Miao Liu, 2022. "Assessing Human Information Processing in Lending Decisions: A Machine Learning Approach," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 607-651, May.
    9. Sun, Qian & Cheng, Xiaoke & Gao, Shenghao & Chen, Tao & Liu, Jia, 2023. "Sunshine-induced mood and SEO pricing: Evidence from detailed investor bids in SEO auctions," Journal of Corporate Finance, Elsevier, vol. 80(C).
    10. Wang, Jianxin, 2022. "Market distraction and near-zero daily volatility persistence," International Review of Financial Analysis, Elsevier, vol. 80(C).
    11. John Donovan, 2021. "Financial Reporting and Entrepreneurial Finance: Evidence from Equity Crowdfunding," Management Science, INFORMS, vol. 67(11), pages 7214-7237, November.
    12. Chuan-Yang Hwang & Yuan Li, 2018. "Analysts’ Reputational Concerns, Self-Censoring, and the International Dispersion Effect," Management Science, INFORMS, vol. 64(5), pages 2289-2307, May.
    13. Doron Israeli & Ron Kasznik & Suhas A. Sridharan, 2022. "Unexpected distractions and investor attention to corporate announcements," Review of Accounting Studies, Springer, vol. 27(2), pages 477-518, June.
    14. Roland Fuess & Massimo Guidolin & Christian Koeppel, 2019. "Sentiment Risk Premia in the Cross-Section of Global Equity and Currency Returns," BAFFI CAREFIN Working Papers 19116, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

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