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Financial reporting and market efficiency with extrapolative investors

Author

Listed:
  • Milo Bianchi

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Philippe Jehiel

    (PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

We model a financial market in which companies engage in strategic financial reporting knowing that investors only pay attention to a randomly drawn sample from firms' reports and extrapolate from this sample. We investigate the extent to which stock prices differ from the fundamental values, assuming that companies must report all their activities but are otherwise free to disaggregate their reports as they wish. We show that no matter how large the samples considered by investors are, a monopolist can induce a price of its stock bounded away from the fundamental. Besides, increasing the number of companies competing to attract investors may exacerbate the mispricing of stocks.

Suggested Citation

  • Milo Bianchi & Philippe Jehiel, 2015. "Financial reporting and market efficiency with extrapolative investors," Post-Print halshs-01156413, HAL.
    • Handle: RePEc:hal:journl:halshs-01156413
    DOI: 10.1016/j.jet.2015.02.009
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    Citations

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    Cited by:

    1. Stéphane Gauthier & Guy Laroque, 2022. "Optimal Random Taxation and Redistribution," Sciences Po Economics Publications (main) hal-03915336, HAL.
    2. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," Working Papers halshs-03735680, HAL.
    3. Milo Bianchi & Philippe Jehiel, 2019. "Bundling, Belief Dispersion, and Mispricing in Financial Markets," Working Papers halshs-02183306, HAL.
    4. Syeda Tayyaba Ijaz & Rabia Komal, 2015. "Role Of Hurst Exponent In Prediction Of Market Efficiency In Kse-100 Index," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 11(2), pages 41-54.
    5. Andries, Marianne & Bianchi, Milo & Huynh, Karen & Pouget, Sebastien, 2024. "Return Predictability, Expectations, and Investment: Experimental Evidence," CEPR Discussion Papers 19239, C.E.P.R. Discussion Papers.
    6. Ginger Zhe Jin & Michael Luca & Daniel Martin, 2022. "Complex Disclosure," Management Science, INFORMS, vol. 68(5), pages 3236-3261, May.
    7. Syeda Tayyaba Ijaz & Rabia Komal, 2015. "Role Of Hurst Exponent In Prediction Of Market Efficiency In Kse-100 Index," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 11(2), pages 11-14.
    8. Bianchi, Milo & Jehiel, Philippe, 2020. "Bundlers' dilemmas in financial markets with sampling investors," Theoretical Economics, Econometric Society, vol. 15(2), May.
    9. Nikolaj Niebuhr Lambertsen, 2024. "Manipulation and obfuscation of financial reports," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 51(1-2), pages 276-296, January.
    10. Marco Di Maggio & Marco Pagano, 2018. "Financial Disclosure and Market Transparency with Costly Information Processing [Bargaining with incomplete information]," Review of Finance, European Finance Association, vol. 22(1), pages 117-153.
    11. Mr. M. Awais Mehmood & Dr. Faisal Aftab & Dr. Hafiz Mushtaq, 2016. "Role Of Social Media Marketing (Smm) In Hei’S Admission," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 12(1), pages 12-10.

    More about this item

    Keywords

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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