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Does Competition Affect Truth Telling? An Experiment with Rating Agencies

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  • Jean Paul Rabanal
  • Olga A Rud

Abstract

We use an experimental approach to study the effect of market structure on the incidence of misreporting by credit rating agencies. In the game, agencies receive a signal regarding the type of asset held by the seller and issue a report. The sellers then present the asset, with the report if one is solicited, to the buyer for purchase. We find that competition among rating agencies significantly reduces the likelihood of misreporting.

Suggested Citation

  • Jean Paul Rabanal & Olga A Rud, 2018. "Does Competition Affect Truth Telling? An Experiment with Rating Agencies," Review of Finance, European Finance Association, vol. 22(4), pages 1581-1604.
    • Handle: RePEc:oup:revfin:v:22:y:2018:i:4:p:1581-1604.
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    1. Sanchez-Pages, Santiago & Vorsatz, Marc, 2007. "An experimental study of truth-telling in a sender-receiver game," Games and Economic Behavior, Elsevier, vol. 61(1), pages 86-112, October.
    2. Forsythe, Robert & Lundholm, Russell & Rietz, Thomas, 1999. "Cheap Talk, Fraud, and Adverse Selection in Financial Markets: Some Experimental Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 12(3), pages 481-518.
    3. Esther Duflo & Michael Greenstone & Nicholas Ryan, 2013. "Truth-telling by Third-party Auditors and the Response of Polluting Firms: Experimental Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1499-1545.
    4. Patrick Bolton & Xavier Freixas & Joel Shapiro, 2012. "The Credit Ratings Game," Journal of Finance, American Finance Association, vol. 67(1), pages 85-112, February.
    5. Harold Cole & Thomas F. Cooley, 2013. "Rating Agencies," Working Papers 2013-31, Economic Research Institute, Bank of Korea.
    6. Matthias Sutter, 2009. "Deception Through Telling the Truth?! Experimental Evidence From Individuals and Teams," Economic Journal, Royal Economic Society, vol. 119(534), pages 47-60, January.
    7. Antoine Faure‐Grimaud & Eloïc Peyrache & Lucía Quesada, 2009. "The ownership of ratings," RAND Journal of Economics, RAND Corporation, vol. 40(2), pages 234-257, June.
    8. Mathis, Jérôme & McAndrews, James & Rochet, Jean-Charles, 2009. "Rating the raters: Are reputation concerns powerful enough to discipline rating agencies?," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 657-674, July.
    9. Becker, Bo & Milbourn, Todd, 2011. "How did increased competition affect credit ratings?," Journal of Financial Economics, Elsevier, vol. 101(3), pages 493-514, September.
    10. Jean Paul Rabanal, 2014. "Strategic default with social interactions: A laboratory experiment," Research in Experimental Economics, in: Experiments in Financial Economics, volume 16, pages 31-52, Emerald Group Publishing Limited.
    11. Adam Ashcraft & Paul Goldsmith-Pinkham & Peter Hull & James Vickery, 2011. "Credit Ratings and Security Prices in the Subprime MBS Market," American Economic Review, American Economic Association, vol. 101(3), pages 115-119, May.
    12. Björn Bartling & Roberto A. Weber & Lan Yao, 2015. "Do Markets Erode Social Responsibility?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 219-266.
    13. Hirth, Stefan, 2014. "Credit rating dynamics and competition," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 100-112.
    14. Bar-Isaac, Heski & Shapiro, Joel, 2013. "Ratings quality over the business cycle," Journal of Financial Economics, Elsevier, vol. 108(1), pages 62-78.
    15. Sheremeta, Roman M. & Shields, Timothy W., 2013. "Do liars believe? Beliefs and other-regarding preferences in sender–receiver games," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 268-277.
    16. Uri Gneezy, 2005. "Deception: The Role of Consequences," American Economic Review, American Economic Association, vol. 95(1), pages 384-394, March.
    17. Ramin P. Baghai & Henri Servaes & Ane Tamayo, 2014. "Have Rating Agencies Become More Conservative? Implications for Capital Structure and Debt Pricing," Journal of Finance, American Finance Association, vol. 69(5), pages 1961-2005, October.
    18. Cassar, Alessandra & Friedman, Daniel & Schneider, Patricia Higino, 2009. "Cheating in markets: A laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 240-259, October.
    19. Lawrence J. White, 2010. "Markets: The Credit Rating Agencies," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 211-226, Spring.
    20. Opp, Christian C. & Opp, Marcus M. & Harris, Milton, 2013. "Rating agencies in the face of regulation," Journal of Financial Economics, Elsevier, vol. 108(1), pages 46-61.
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    Cited by:

    1. Kling, Luisa & König-Kersting, Christian & Trautmann, Stefan T., 2023. "Investment preferences and risk perception: Financial agents versus clients," Journal of Banking & Finance, Elsevier, vol. 154(C).
    2. Agoraki, Maria-Eleni & Gounopoulos, Dimitrios & Kouretas, Georgios P., 2021. "Market expectations and the impact of credit rating on the IPOs of U.S. banks," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 587-610.
    3. Vu, Huong & Alsakka, Rasha & ap Gwilym, Owain, 2022. "Does competition improve sovereign credit rating quality?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    4. Benistant, Julien & Galeotti, Fabio & Villeval, Marie Claire, 2021. "The Distinct Impact of Information and Incentives on Cheating," IZA Discussion Papers 14014, Institute of Labor Economics (IZA).
    5. Balmus, Tatiana & Huber, Juergen & Ploner, Matteo, 2020. "More competition in delegated portfolio management: A win-win situation? An experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 777-800.
    6. Vivian M. van Breemen & Frank J. Fabozzi & Dennis Vink, 2023. "Intensified Competition and The Impact on Credit Ratings in the RMBS market," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 32(2), pages 51-86, May.
    7. Goergen, Marc & Gounopoulos, Dimitrios & Koutroumpis, Panagiotis, 2021. "Do multiple credit ratings reduce money left on the table? Evidence from U.S. IPOs," Journal of Corporate Finance, Elsevier, vol. 67(C).
    8. Pertaia, Giorgi & Prokhorov, Artem & Uryasev, Stan, 2022. "A new approach to credit ratings," Journal of Banking & Finance, Elsevier, vol. 140(C).
    9. Sheth, Jesal D., 2021. "Disclosure of information under competition: An experimental study," Games and Economic Behavior, Elsevier, vol. 129(C), pages 158-180.
    10. Angerer, Martin & Herrmann-Romero, Matthias & Szymczak, Wiebke, 2022. "Losing funds or losing face? Reputation and accountability in the credit rating industry," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    11. Benistant, Julien & Galeotti, Fabio & Villeval, Marie Claire, 2022. "Competition, information, and the erosion of morals," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 148-163.

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    More about this item

    Keywords

    Credit rating agencies; Conflicts of interest; Market structure; Laboratory experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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