IDEAS home Printed from https://ideas.repec.org/p/sef/csefwp/690.html
   My bibliography  Save this paper

The social value of overreaction to information

Author

Listed:

Abstract

We study the welfare effects of overreaction to information in the form of diagnostic expectations in markets with asymmetric information, and the effect of a simple intervention in the form of a tax or a subsidy. A large enough level of overreaction is always welfare-decreasing and can rationalize a tax on financial transactions. A small degree of overreaction to private information can both increase or decrease welfare. This is because there are two competing externalities: an information externality, due to the informational role of prices, and a pecuniary externality, due to the allocative role of prices. When the information externality prevails on the pecuniary externality, the loading on private information in agents' trades is too small compared to the welfare optimum: in this case, a small degree of overreaction is welfare-improving.

Suggested Citation

  • Matteo Bizzarri & Daniele d'Arienzo, 2023. "The social value of overreaction to information," CSEF Working Papers 690, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  • Handle: RePEc:sef:csefwp:690
    as

    Download full text from publisher

    File URL: https://www.csef.it/WP/wp690.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Xavier Vives, 2017. "Endogenous Public Information and Welfare in Market Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 935-963.
    2. David Arnold & Will Dobbie & Crystal S Yang, 2018. "Racial Bias in Bail Decisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1885-1932.
    3. Jean‐Philippe Bouchaud & Philipp Krüger & Augustin Landier & David Thesmar, 2019. "Sticky Expectations and the Profitability Anomaly," Journal of Finance, American Finance Association, vol. 74(2), pages 639-674, April.
    4. Franz Ostrizek & Elia Sartori, 2021. "Acquisition, (Mis)use and Dissemination of Information: The Blessing of Cursedness and Transparency," CSEF Working Papers 604, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    5. Pedro Bordalo & Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2020. "Overreaction in Macroeconomic Expectations," American Economic Review, American Economic Association, vol. 110(9), pages 2748-2782, September.
    6. Edward Whitehouse, 2005. "Taxation : The Tax Treatment of Funded Pensions," World Bank Publications - Reports 11211, The World Bank Group.
    7. Eduardo Dávila & Ansgar Walther, 2023. "Prudential Policy with Distorted Beliefs," American Economic Review, American Economic Association, vol. 113(7), pages 1967-2006, July.
    8. Giampaolo Bonomi & Nicola Gennaioli & Guido Tabellini, 2021. "Identity, Beliefs, and Political Conflict," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2371-2411.
    9. Emmanuel Farhi & Xavier Gabaix, 2020. "Optimal Taxation with Behavioral Agents," American Economic Review, American Economic Association, vol. 110(1), pages 298-336, January.
    10. Auerbach, Alan J. & Bradford, David F., 2004. "Generalized cash-flow taxation," Journal of Public Economics, Elsevier, vol. 88(5), pages 957-980, April.
    11. Pedro Bordalo & Nicola Gennaioli & Rafael La Porta & Matthew OBrien & Andrei Shleifer, 2024. "Long-Term Expectations and Aggregate Fluctuations," NBER Macroeconomics Annual, University of Chicago Press, vol. 38(1), pages 311-347.
    12. Sendhil Mullainathan & Joshua Schwartzstein & William J. Congdon, 2012. "A Reduced-Form Approach to Behavioral Public Finance," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 511-540, July.
    13. Jordi Mondria & Xavier Vives & Liyan Yang, 2022. "Costly Interpretation of Asset Prices," Management Science, INFORMS, vol. 68(1), pages 52-74, January.
    14. Johannes Spinnewijn, 2015. "Unemployed But Optimistic: Optimal Insurance Design With Biased Beliefs," Journal of the European Economic Association, European Economic Association, vol. 13(1), pages 130-167, February.
    15. Klaus Adam & Albert Marcet & Johannes Beutel, 2017. "Stock Price Booms and Expected Capital Gains," American Economic Review, American Economic Association, vol. 107(8), pages 2352-2408, August.
    16. Antonio E. Bernardo & Ivo Welch, 2001. "On the Evolution of Overconfidence and Entrepreneurs," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 10(3), pages 301-330, September.
    17. George-Marios Angeletos & Alessandro Pavan, 2007. "Efficient Use of Information and Social Value of Information," Econometrica, Econometric Society, vol. 75(4), pages 1103-1142, July.
    18. George-Marios Angeletos & Alessandro Pavan, 2009. "Policy with Dispersed Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 11-60, March.
    19. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    20. Luca Colombo & Gianluca Femminis & Alessandro Pavan, 2014. "Information Acquisition and Welfare," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1438-1483.
    21. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2022. "Overreaction and Diagnostic Expectations in Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 223-244, Summer.
    22. Harald Uhlig, 1996. "A law of large numbers for large economies (*)," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 8(1), pages 41-50.
    23. Xavier Vives, 2014. "On The Possibility Of Informationally Efficient Markets," Journal of the European Economic Association, European Economic Association, vol. 12(5), pages 1200-1239, October.
    24. Goldin, Jacob, 2015. "Optimal tax salience," Journal of Public Economics, Elsevier, vol. 131(C), pages 115-123.
    25. Buss, Adrian & Dumas, Bernard & Uppal, Raman & Vilkov, Grigory, 2016. "The intended and unintended consequences of financial-market regulations: A general-equilibrium analysis," Journal of Monetary Economics, Elsevier, vol. 81(C), pages 25-43.
    26. Rochet, Jean-Charles & Biais, Bruno, 2023. "Taxing Financial Transactions: A Mirrleesian Approach," TSE Working Papers 23-1413, Toulouse School of Economics (TSE).
    27. Alvaro Sandroni & Francesco Squintani, 2007. "Overconfidence, Insurance, and Paternalism," American Economic Review, American Economic Association, vol. 97(5), pages 1994-2004, December.
    28. Eric M. Engen & William G. Gale, 2000. "The Effects of 401(k) Plans on Household Wealth: Differences Across Earnings Groups," NBER Working Papers 8032, National Bureau of Economic Research, Inc.
    29. Pedro Bordalo & John J Conlon & Nicola Gennaioli & Spencer Y Kwon & Andrei Shleifer, 2023. "Memory and Probability," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 265-311.
    30. Summers, L.H. & Summers, V.P., 1989. "When Financial Markets Work Too Well : A Cautious Case For A Securities Transactions Tax," Papers t12, Columbia - Center for Futures Markets.
    31. Hassan Afrouzi & Spencer Y Kwon & Augustin Landier & Yueran Ma & David Thesmar, 2023. "Overreaction in Expectations: Evidence and Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1713-1764.
    32. Kyle, Albert S & Wang, F Albert, 1997. "Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test?," Journal of Finance, American Finance Association, vol. 52(5), pages 2073-2090, December.
    33. Erik Eyster & Matthew Rabin & Dimitri Vayanos, 2019. "Financial Markets Where Traders Neglect the Informational Content of Prices," Journal of Finance, American Finance Association, vol. 74(1), pages 371-399, February.
    34. Anna Bayona, 2018. "The social value of information with an endogenous public signal," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(4), pages 1059-1087, December.
    35. Kent D. Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 2001. "Overconfidence, Arbitrage, and Equilibrium Asset Pricing," Journal of Finance, American Finance Association, vol. 56(3), pages 921-965, June.
    36. Moore, Dylan T. & Slemrod, Joel, 2021. "Optimal tax systems with endogenous behavioral biases," Journal of Public Economics, Elsevier, vol. 197(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eduardo Dávila, 2023. "Optimal Financial Transaction Taxes," Journal of Finance, American Finance Association, vol. 78(1), pages 5-61, February.
    2. Anna Bayona, 2018. "The social value of information with an endogenous public signal," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(4), pages 1059-1087, December.
    3. Francesco Bianchi & Cosmin Ilut & Hikaru Saijo, 2024. "Smooth Diagnostic Expectations," ISER Discussion Paper 1249, Institute of Social and Economic Research, Osaka University.
    4. Jean-Paul L’Huillier & Sanjay R Singh & Donghoon Yoo, 2024. "Incorporating Diagnostic Expectations into the New Keynesian Framework," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(5), pages 3013-3046.
    5. Angeletos, G.-M. & Lian, C., 2016. "Incomplete Information in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1065-1240, Elsevier.
    6. Jonathan G. James & Philip Lawler, 2024. "Clarity of Central Bank Communication and the Social Value of Public Information," Working Papers 2024-03, Swansea University, School of Management.
    7. Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2022. "Belief Distortions and Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 112(7), pages 2269-2315, July.
    8. Ruiz-Buforn, Alba & Camacho-Cuena, Eva & Morone, Andrea & Alfarano, Simone, 2021. "Overweighting of public information in financial markets: A lesson from the lab," Journal of Banking & Finance, Elsevier, vol. 133(C).
    9. Jean‐Pierre Benoît & Juan Dubra, 2011. "Apparent Overconfidence," Econometrica, Econometric Society, vol. 79(5), pages 1591-1625, September.
    10. Camous, Antoine & Van der Ghote, Alejandro, 2022. "Financial cycles under diagnostic beliefs," Working Paper Series 2659, European Central Bank.
    11. Huo, Zhen & Pedroni, Marcelo, 2023. "Dynamic information aggregation: Learning from the past," Journal of Monetary Economics, Elsevier, vol. 136(C), pages 107-124.
    12. Chen Lian, 2021. "Mistakes in Future Consumption, High MPCs Now," NBER Working Papers 29517, National Bureau of Economic Research, Inc.
    13. Heumann, Tibor, 2021. "Efficiency in trading markets with multi-dimensional signals," Journal of Economic Theory, Elsevier, vol. 191(C).
    14. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    15. Pedro Bordalo & Nicola Gennaioli & Rafael La Porta & Andrei Shleifer, 2024. "Belief Overreaction and Stock Market Puzzles," Journal of Political Economy, University of Chicago Press, vol. 132(5), pages 1450-1484.
    16. Kohlhas, Alexandre N., 2020. "An informational rationale for action over disclosure," Journal of Economic Theory, Elsevier, vol. 187(C).
    17. Angeletos, George-Marios & Iovino, Luigi & La'O, Jennifer, 2020. "Learning over the business cycle: Policy implications," Journal of Economic Theory, Elsevier, vol. 190(C).
    18. Goldstein, Itay & Yang, Liyan, 2019. "Good disclosure, bad disclosure," Journal of Financial Economics, Elsevier, vol. 131(1), pages 118-138.
    19. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Endogenous information acquisition and countercyclical uncertainty," Journal of Economic Theory, Elsevier, vol. 165(C), pages 601-642.
    20. Gáti, Laura, 2023. "Monetary policy & anchored expectations—An endogenous gain learning model," Journal of Monetary Economics, Elsevier, vol. 140(S), pages 37-47.

    More about this item

    Keywords

    Overreaction; Diagnostic Expectations; Non-Bayesian learning; Taxes on Financial Transactions; Asymmetric Information; Externalities.;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sef:csefwp:690. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Maria Carannante (email available below). General contact details of provider: https://edirc.repec.org/data/cssalit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.