IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v29y2016i2p420-456..html
   My bibliography  Save this article

Who Should Pay for Credit Ratings and How?

Author

Listed:
  • Anil K. Kashyap
  • Natalia Kovrijnykh

Abstract

We analyze a model where investors use a credit rating to decide whether to finance a firm. The rating quality depends on unobservable effort exerted by a credit rating agency (CRA). We study optimal compensation schemes for the CRA when a planner, the firm, or investors order the rating. Rating errors are larger when the firm orders it than when investors do (and both produce larger errors than is socially optimal). Investors overuse ratings relative to the firm or planner. A trade-off in providing time-consistent incentives embedded in the optimal compensation structure makes the CRA slow to acknowledge mistakes. Received October 22, 2014; accepted August 29, 2015 by Editor Itay Goldstein.

Suggested Citation

  • Anil K. Kashyap & Natalia Kovrijnykh, 2016. "Who Should Pay for Credit Ratings and How?," The Review of Financial Studies, Society for Financial Studies, vol. 29(2), pages 420-456.
    • Handle: RePEc:oup:rfinst:v:29:y:2016:i:2:p:420-456.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhv127
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Bar-Isaac, Heski & Shapiro, Joel, 2013. "Ratings quality over the business cycle," Journal of Financial Economics, Elsevier, vol. 108(1), pages 62-78.
    3. Skreta, Vasiliki & Veldkamp, Laura, 2009. "Ratings shopping and asset complexity: A theory of ratings inflation," Journal of Monetary Economics, Elsevier, vol. 56(5), pages 678-695, July.
    4. Marco Pagano & Paolo Volpin, 2010. "Credit ratings failures and policy options [Cash-in-the-market pricing and optimal resolution of bank failures]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(62), pages 401-431.
    5. Edlin, Aaron S. & Shannon, Chris, 1998. "Strict Monotonicity in Comparative Statics," Journal of Economic Theory, Elsevier, vol. 81(1), pages 201-219, July.
    6. Yeon-Koo Che & Seung-Weon Yoo, 2001. "Optimal Incentives for Teams," American Economic Review, American Economic Association, vol. 91(3), pages 525-541, June.
    7. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    8. Strausz, Roland, 2005. "Honest certification and the threat of capture," International Journal of Industrial Organization, Elsevier, vol. 23(1-2), pages 45-62, February.
    9. 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.
    10. Jiang, John (Xuefeng) & Harris Stanford, Mary & Xie, Yuan, 2012. "Does it matter who pays for bond ratings? Historical evidence," Journal of Financial Economics, Elsevier, vol. 105(3), pages 607-621.
    11. Becker, Bo & Milbourn, Todd, 2011. "How did increased competition affect credit ratings?," Journal of Financial Economics, Elsevier, vol. 101(3), pages 493-514, September.
    12. Gromb, Denis & Martimort, David, 2007. "Collusion and the organization of delegated expertise," Journal of Economic Theory, Elsevier, vol. 137(1), pages 271-299, November.
    13. Lawrence J. White, 2010. "Markets: The Credit Rating Agencies," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 211-226, Spring.
    14. Paolo Fulghieri & Günter Strobl & Han Xia, 2014. "The Economics of Solicited and Unsolicited Credit Ratings," The Review of Financial Studies, Society for Financial Studies, vol. 27(2), pages 484-518.
    15. Donald P. Morgan, 2002. "Rating Banks: Risk and Uncertainty in an Opaque Industry," American Economic Review, American Economic Association, vol. 92(4), pages 874-888, September.
    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. Jeon, Doh-Shin & Lovo, Stefano, 2013. "Credit rating industry: A helicopter tour of stylized facts and recent theories," International Journal of Industrial Organization, Elsevier, vol. 31(5), pages 643-651.
    2. Harald Hau & Sam Langfield & David Marques-Ibanez, 2013. "Bank ratings: what determines their quality? [Bank risk during the financial crisis: do business models matter?]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 28(74), pages 289-333.
    3. Valentina Bruno & Jess Cornaggia & Kimberly J. Cornaggia, 2016. "Does Regulatory Certification Affect the Information Content of Credit Ratings?," Management Science, INFORMS, vol. 62(6), pages 1578-1597, June.
    4. Jeon, Doh-Shin & Lovo, Stefano, 2011. "Reputation as an Entry Barrier in the Credit Rating Industry," IDEI Working Papers 675, Institut d'Économie Industrielle (IDEI), Toulouse, revised 25 May 2012.
    5. Farkas, Miklós, 2021. "Competition, communication and rating bias," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 637-656.
    6. Bar-Isaac, Heski & Shapiro, Joel, 2013. "Ratings quality over the business cycle," Journal of Financial Economics, Elsevier, vol. 108(1), pages 62-78.
    7. Cornaggia, Jess & Cornaggia, Kimberly J. & Xia, Han, 2016. "Revolving doors on Wall Street," Journal of Financial Economics, Elsevier, vol. 120(2), pages 400-419.
    8. Jess N. Cornaggia & Kimberly J. Cornaggia & John E. Hund, 2017. "Credit Ratings Across Asset Classes: A Long-Term Perspective," Review of Finance, European Finance Association, vol. 21(2), pages 465-509.
    9. Lawrence J. White, 2013. "Credit Rating Agencies: An Overview," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 93-122, November.
    10. Ozerturk, Saltuk, 2014. "Ratings as regulatory stamps," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 17-29.
    11. Xia, Han, 2014. "Can investor-paid credit rating agencies improve the information quality of issuer-paid rating agencies?," Journal of Financial Economics, Elsevier, vol. 111(2), pages 450-468.
    12. Efing, Matthias & Hau, Harald, 2015. "Structured debt ratings: Evidence on conflicts of interest," Journal of Financial Economics, Elsevier, vol. 116(1), pages 46-60.
    13. Javed I. Ahmed, 2014. "Competition in Lending and Credit Ratings," Working Papers 14-01, Office of Financial Research, US Department of the Treasury.
    14. Hirth, Stefan, 2014. "Credit rating dynamics and competition," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 100-112.
    15. Yun Wang & Yilan Xu, 2015. "Race to the Top: Credit Rating Bias from Competition," Working Papers 2015-05-12, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, revised 10 Jul 2015.
    16. Fischer, Thomas, 2015. "Market structure and rating strategies in credit rating markets – A dynamic model with matching of heterogeneous bond issuers and rating agencies," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 39-56.
    17. Berwart, Erik & Guidolin, Massimo & Milidonis, Andreas, 2019. "An empirical analysis of changes in the relative timeliness of issuer-paid vs. investor-paid ratings," Journal of Corporate Finance, Elsevier, vol. 59(C), pages 88-118.
    18. Alexander E. Saak, 2017. "The Value of Delegated Quality Control," Journal of Industrial Economics, Wiley Blackwell, vol. 65(2), pages 309-335, June.
    19. Wenming Xu & Yan Liu, 2021. "Does reputational capital affect credit rating agencies?: empirical evidence from a natural experiment in China," European Journal of Law and Economics, Springer, vol. 51(3), pages 433-468, June.
    20. Chen, Yongmin & Gu, Dingwei & Yao, Zhiyong, 2013. "Rating Inflation versus Deflation: On Procyclical Credit Ratings," MPRA Paper 51159, University Library of Munich, Germany.

    More about this item

    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
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    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:oup:rfinst:v:29:y:2016:i:2:p:420-456.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.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.