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When Transparency Improves, Must Prices Reflect Fundamentals Better?

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  • Snehal Banerjee
  • Jesse Davis
  • Naveen Gondhi

Abstract

No. In the presence of speculative opportunities, investors can learn about both asset fundamentals and the beliefs of other traders. We show that this learning exhibits complementarity: learning more along one dimension increases the value of learning about the other. As a result, regulatory changes may be counterproductive. First, increasing transparency (i.e., making fundamental information cheaper to acquire) can make prices less informative when investors respond by learning relatively more about others. Second, public disclosures discourage private learning about fundamentals, while encouraging information acquisition about others. Accordingly, disclosing more fundamental information can decrease overall informational efficiency by decreasing price informativeness. Received April 20, 2016; editorial decision September 30, 2017 by Editor Itay Goldstein.

Suggested Citation

  • Snehal Banerjee & Jesse Davis & Naveen Gondhi, 2018. "When Transparency Improves, Must Prices Reflect Fundamentals Better?," The Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2377-2414.
  • Handle: RePEc:oup:rfinst:v:31:y:2018:i:6:p:2377-2414.
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    Cited by:

    1. Goldstein, Itay & Yang, Liyan, 2019. "Good disclosure, bad disclosure," Journal of Financial Economics, Elsevier, vol. 131(1), pages 118-138.
    2. Ferracuti, Elia & Stubben, Stephen R., 2019. "The role of financial reporting in resolving uncertainty about corporate investment opportunities," Journal of Accounting and Economics, Elsevier, vol. 68(2).
    3. Jan Schneemeier, 2019. "Shock Propagation Through Cross-Learning in Opaque Networks," 2019 Meeting Papers 329, Society for Economic Dynamics.
    4. Aghanya, Daniel & Agarwal, Vineet & Poshakwale, Sunil, 2020. "Market in Financial Instruments Directive (MiFID), stock price informativeness and liquidity," Journal of Banking & Finance, Elsevier, vol. 113(C).
    5. Goldman, Eitan & Martel, Jordan & Schneemeier, Jan, 2022. "A theory of financial media," Journal of Financial Economics, Elsevier, vol. 145(1), pages 239-258.
    6. Shiyang Huang & Bart Zhou Yueshen, 2021. "Speed Acquisition," Management Science, INFORMS, vol. 67(6), pages 3492-3518, June.
    7. Kang, Junqing & Lin, Shen & Xiong, Xiong, 2022. "What drives intraday reversal? illiquidity or liquidity oversupply?," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    8. Cookson, J. Anthony & Engelberg, Joseph E. & Mullins, William, 2020. "Echo Chambers," SocArXiv n2q9h, Center for Open Science.
    9. Yen-Cheng Chang & Alexander Ljungqvist & Kevin Tseng & Itay Goldstein, 2023. "Do Corporate Disclosures Constrain Strategic Analyst Behavior?," The Review of Financial Studies, Society for Financial Studies, vol. 36(8), pages 3163-3212.
    10. Dionne, Georges & Zhou, Xiaozhou, 2024. "High price impact trades identication and its implication for volatility and price efficiency," Working Papers 24-3, HEC Montreal, Canada Research Chair in Risk Management.
    11. Glebkin, Sergei & Kuong, John Chi-Fong, 2023. "When large traders create noise," Journal of Financial Economics, Elsevier, vol. 150(2).
    12. Jianghua Shen & Lingmin Xie & Zhimin Xie, 2022. "The unintended consequence of financial statement comparability: evidence from managerial learning practices," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3073-3106, September.
    13. Katharina Hombach & Thorsten Sellhorn, 2019. "Shaping Corporate Actions Through Targeted Transparency Regulation: A Framework and Review of Extant Evidence," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(2), pages 137-168, May.
    14. Zhang, Teng & Li, Jiaqi & Xu, Zhiwei, 2024. "Speculative trading, stock returns and asset pricing anomalies," Emerging Markets Review, Elsevier, vol. 61(C).
    15. Elena IONASCU & Marilena MIRONIUC & Ion ANGHEL, 2019. "Transparency of Real Estate Markets: Conceptual and Empirical Evidence," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 17(154), pages 306-306.
    16. Abedifar, Pejman & Bouslah, Kais & Zheng, Yeliangzi, 2021. "Stock price synchronicity and price informativeness: Evidence from a regulatory change in the U.S. banking industry," Finance Research Letters, Elsevier, vol. 40(C).
    17. Ji, Yucheng & Xu, Weijun & Zhao, Qi & Jia, Zecheng, 2023. "ESG disclosure and investor welfare under asymmetric information and imperfect competition," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    18. Oh, Sebeom, 2023. "Market Manipulation in NFT Markets," MPRA Paper 116704, University Library of Munich, Germany.
    19. Nihad Aliyev, 2019. "Financial Markets with Multidimensional Uncertainty," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2019, January-A.
    20. Gondhi, Naveen, 2023. "Rational inattention, misallocation, and the aggregate economy," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 50-75.
    21. Anselmi, Giulio & Petrella, Giovanni, 2021. "Regulation and stock market quality: The impact of MiFID II provision on research unbundling," International Review of Financial Analysis, Elsevier, vol. 76(C).
    22. Pintér, Gábor & Wang, Chaojun & Zou, Junyuan, 2022. "Information chasing versus adverse selection," Bank of England working papers 971, Bank of England.
    23. Xiong, Yan & Yang, Liyan, 2021. "Disclosure, competition, and learning from asset prices," Journal of Economic Theory, Elsevier, vol. 197(C).
    24. Liu, Xia & Liu, Shancun & Qi, Zhen & Wen, Chunhui, 2020. "Discretionary liquidity trading, information production and market efficiency," Finance Research Letters, Elsevier, vol. 35(C).
    25. Campbell, Brett & Drake, Michael & Thornock, Jacob & Twedt, Brady, 2023. "Earnings Virality," Journal of Accounting and Economics, Elsevier, vol. 75(1).

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