IDEAS home Printed from https://ideas.repec.org/a/spr/epolin/v50y2023i3d10.1007_s40812-022-00215-3.html
   My bibliography  Save this article

Compensation reform analysis on inflated credit rating attenuation

Author

Listed:
  • Kittiphod Charoontham

    (Khon Kaen Business School (KKBS), Faculty of Business Administration and Accountancy, Khon Kaen University)

  • Thunyarat Amornpetchkul

    (National Institute of Development Administration (NIDA))

Abstract

This study investigates the impact of compensation schemes on the decisions of a credit rating agencies (CRA) regarding how much effort to exert when learning about the type of a portfolio and how to disclose the learned information in the form of credit rating. Two compensation schemes are considered: (i) the rating contingent fee scheme, under which the fee is paid only when a favorable rating is provided, and (ii) the outcome contingent fee scheme, under which the fee is paid only when the rating accurately predicts the true type of the portfolio. The CRA’s optimal effort exertion level and disclosure policy selection when offered each type of compensation schemes are characterized, taking into account the possibility of inflating ratings as well as the reputational cost from misreporting ratings. Our findings reveal that when the CRA is paid a rating contingent fee, it may strategically inflate ratings if the reputational cost is minimal. In contrast, when the CRA receives an outcome contingent fee, it always exerts the optimal level of effort to produce a credible signal and reports ratings truthfully. Hence, the outcome contingent fee scheme has potential to reduce the incidents of inflated credit ratings perceived as a radical cause of financial crises.

Suggested Citation

  • Kittiphod Charoontham & Thunyarat Amornpetchkul, 2023. "Compensation reform analysis on inflated credit rating attenuation," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 627-645, September.
  • Handle: RePEc:spr:epolin:v:50:y:2023:i:3:d:10.1007_s40812-022-00215-3
    DOI: 10.1007/s40812-022-00215-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40812-022-00215-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40812-022-00215-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Josephson, Jens & Shapiro, Joel, 2020. "Credit ratings and structured finance," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    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. Xiaoyang Zhuo & Guangli Xu & Yongjin Wang, 2017. "The Issuer-pays Business Model and Competitive Rating Market: Rating Network Structure," The Journal of Real Estate Finance and Economics, Springer, vol. 55(2), pages 216-241, August.
    4. 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.
    5. Rablen, Matthew D., 2013. "Divergence in credit ratings," Finance Research Letters, Elsevier, vol. 10(1), pages 12-16.
    6. John M. Griffin & Dragon Yongjun Tang, 2012. "Did Subjectivity Play a Role in CDO Credit Ratings?," Journal of Finance, American Finance Association, vol. 67(4), pages 1293-1328, August.
    7. Baghai, Ramin P. & Becker, Bo, 2020. "Reputations and credit ratings: Evidence from commercial mortgage-backed securities," Journal of Financial Economics, Elsevier, vol. 135(2), pages 425-444.
    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. Efraim Benmelech & Jennifer Dlugosz, 2010. "The Credit Rating Crisis," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 161-207, National Bureau of Economic Research, Inc.
    10. Jonathan Katz & Emanuel Salinas & Constantinos Stephanou, 2009. "Credit Rating Agencies," World Bank Publications - Reports 10227, The World Bank Group.
    11. Park, Gitae & Lee, Ho-Young, 2018. "Opportunistic behaviors of credit rating agencies and bond issuers," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 39-59.
    12. Mariano, Beatriz, 2012. "Market power and reputational concerns in the ratings industry," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1616-1626.
    13. Ozerturk, Saltuk, 2014. "Upfront versus rating contingent fees: Implications for rating quality," Finance Research Letters, Elsevier, vol. 11(2), pages 91-103.
    14. Goel, Anand M. & Thakor, Anjan V., 2015. "Information reliability and welfare: A theory of coarse credit ratings," Journal of Financial Economics, Elsevier, vol. 115(3), pages 541-557.
    15. Sivan Frenkel, 2015. "Repeated Interaction and Rating Inflation: A Model of Double Reputation," American Economic Journal: Microeconomics, American Economic Association, vol. 7(1), pages 250-280, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Douglas Cumming & Zachary Glatzer & Omrane Guedhami, 2023. "Institutions, digital assets, and implications for economic and financial performance," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 487-513, September.

    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. Farkas, Miklós, 2021. "Competition, communication and rating bias," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 637-656.
    2. Francesco Sangiorgi & Chester Spatt, 2017. "Opacity, Credit Rating Shopping, and Bias," Management Science, INFORMS, vol. 63(12), pages 4016-4036, December.
    3. Brendan Daley & Brett Green & Victoria Vanasco, 2020. "Securitization, Ratings, and Credit Supply," Journal of Finance, American Finance Association, vol. 75(2), pages 1037-1082, April.
    4. Chen, Zhongfei & Matousek, Roman & Stewart, Chris & Webb, Rob, 2019. "Do rating agencies exhibit herding behaviour? Evidence from sovereign ratings," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 57-70.
    5. Yao, Zhiyong & Gu, Dingwei & Chen, Yongmin, 2017. "Rating deflation versus inflation: On procyclical credit ratings," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 46-64.
    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. Chen, Yongmin & Gu, Dingwei & Yao, Zhiyong, 2013. "Rating Inflation versus Deflation: On Procyclical Credit Ratings," MPRA Paper 51159, University Library of Munich, Germany.
    8. Efing, Matthias & Hau, Harald, 2015. "Structured debt ratings: Evidence on conflicts of interest," Journal of Financial Economics, Elsevier, vol. 116(1), pages 46-60.
    9. 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.
    10. Nelson Camanho & Pragyan Deb & Zijun Liu, 2022. "Credit rating and competition," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2873-2897, July.
    11. 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.
    12. 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.
    13. Michael R. King & Steven Ongena & Nikola Tarashev, 2020. "Bank Standalone Credit Ratings," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 101-144, September.
    14. Holden, Steinar & Natvig, Gisle James & Vigier, Adrien, 2012. "An Equilibrium Model of Credit Rating Agencies," Memorandum 01/2013, Oslo University, Department of Economics.
    15. Terovitis, Spyros, 2022. "Information disclosure and the feedback effect in capital markets," Journal of Financial Intermediation, Elsevier, vol. 49(C).
    16. 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.
    17. Kempf, Elisabeth, 2020. "The job rating game: Revolving doors and analyst incentives," Journal of Financial Economics, Elsevier, vol. 135(1), pages 41-67.
    18. Marta Allegra Ronchetti, 2018. "What if I knew you did it? An analysis of preliminary ratings’ disclosure under competition," Discussion Papers 2018/09, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    19. Luitel, Prabesh & Vanpée, Rosanne & De Moor, Lieven, 2016. "Pernicious effects: How the credit rating agencies disadvantage emerging markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 286-298.
    20. Sean Flynn & Andra Ghent, 2018. "Competition and Credit Ratings After the Fall," Management Science, INFORMS, vol. 64(4), pages 1672-1692, April.

    More about this item

    Keywords

    Contingent fee scheme; Compensation analysis; Credit rating; Rating accuracy; Rating inflation;
    All these keywords.

    JEL classification:

    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law

    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:spr:epolin:v:50:y:2023:i:3:d:10.1007_s40812-022-00215-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.