IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v10y2013i1p12-16.html
   My bibliography  Save this article

Divergence in credit ratings

Author

Listed:
  • Rablen, Matthew D.

Abstract

During the recent credit crisis credit rating agencies (CRAs) became increasingly lax in their rating of structured products, yet increasingly stringent in their rating of corporate bonds. We examine a model in which a CRA operates in both the market for structured products and for corporate debt, and shares a common reputation across the two markets. We find that, as a CRA’s reputation becomes good enough, it can be optimal for it to inflate its ratings with probability one in the structured products market, but inflate its ratings with probability zero in the corporate bond market.

Suggested Citation

  • Rablen, Matthew D., 2013. "Divergence in credit ratings," Finance Research Letters, Elsevier, vol. 10(1), pages 12-16.
    • Handle: RePEc:eee:finlet:v:10:y:2013:i:1:p:12-16
    DOI: 10.1016/j.frl.2012.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612312000542
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2012.11.001?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. Jie He & Jun Qian & Philip E. Strahan, 2011. "Credit Ratings and the Evolution of the Mortgage-Backed Securities Market," American Economic Review, American Economic Association, vol. 101(3), pages 131-135, May.
    2. Marshall E. Blume & Felix Lim & A. Craig MacKinlay, "undated". "The Declining Credit Quality of US Corporate Debt: Myth or Reality?," Rodney L. White Center for Financial Research Working Papers 3-98, Wharton School Rodney L. White Center for Financial Research.
    3. Marshall E. Blume & Felix Lim & A. Craig Mackinlay, 1998. "The Declining Credit Quality of U.S. Corporate Debt: Myth or Reality?," Journal of Finance, American Finance Association, vol. 53(4), pages 1389-1413, August.
    4. Daniel M. Covitz & Paul Harrison, 2003. "Testing conflicts of interest at bond rating agencies with market anticipation: evidence that reputation incentives dominate," Finance and Economics Discussion Series 2003-68, Board of Governors of the Federal Reserve System (U.S.).
    5. 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.
    6. Marshall E. Blume & Felix Lim & A. Craig MacKinlay, "undated". "The Declining Credit Quality of US Corporate Debt: Myth or Reality?," Rodney L. White Center for Financial Research Working Papers 03-98, Wharton School Rodney L. White Center for Financial Research.
    7. 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.
    8. Mariano, Beatriz, 2012. "Market power and reputational concerns in the ratings industry," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1616-1626.
    9. Lawrence J. White, 2010. "Markets: The Credit Rating Agencies," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 211-226, Spring.
    10. repec:fth:pennfi:67 is not listed on IDEAS
    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. Ozerturk, Saltuk, 2014. "Upfront versus rating contingent fees: Implications for rating quality," Finance Research Letters, Elsevier, vol. 11(2), pages 91-103.
    2. 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).
    3. Marta Allegra Ronchetti, 2015. "Credit Rating Agency, Preliminary Ratings and Contact Disclosure," Discussion Papers 2015/04, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    4. Marta Allegra Ronchetti, 2018. "Preliminary credit ratings and contact disclosure," Discussion Papers 2018/02, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    5. 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.
    6. Balios, Dimitris & Thomadakis, Stavros & Tsipouri, Lena, 2016. "Credit rating model development: An ordered analysis based on accounting data," Research in International Business and Finance, Elsevier, vol. 38(C), pages 122-136.
    7. Vincent Fromentin & Christine Louargant, 2014. "Is the rating given to a European mutual fund a good indicator of its future performance?," Economics Bulletin, AccessEcon, vol. 34(2), pages 1235-1246.

    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. Attig, Najah & Driss, Hamdi & El Ghoul, Sadok, 2021. "Credit ratings quality in uncertain times," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    2. Gerald J. Lobo & Luc Paugam & Hervé Stolowy & Pierre Astolfi, 2017. "The Effect of Business and Financial Market Cycles on Credit Ratings: Evidence from the Last Two Decades," Abacus, Accounting Foundation, University of Sydney, vol. 53(1), pages 59-93, March.
    3. Bae, Kee-Hong & Driss, Hamdi & Roberts, Gordon S., 2019. "Does competition affect ratings quality? Evidence from Canadian corporate bonds," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 605-623.
    4. Tao Wang, 2016. "Time-Varying Rating Standards and the Distorted Incentives of Credit Rating Agencies," Global Credit Review (GCR), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 21-39.
    5. 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.
    6. Chen, Yongmin & Gu, Dingwei & Yao, Zhiyong, 2013. "Rating Inflation versus Deflation: On Procyclical Credit Ratings," MPRA Paper 51159, University Library of Munich, Germany.
    7. Griffin, Paul A. & Hong, Hyun A. & Ryou, Ji Woo, 2018. "Corporate innovative efficiency: Evidence of effects on credit ratings," Journal of Corporate Finance, Elsevier, vol. 51(C), pages 352-373.
    8. Lawrence J. White, 2013. "Credit Rating Agencies: An Overview," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 93-122, November.
    9. 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.
    10. Kraft, Pepa & Xie, Yuan & Zhou, Ling, 2020. "The intraday timing of rating changes," Journal of Corporate Finance, Elsevier, vol. 60(C).
    11. Khatami, Seyed Hossein & Marchica, Maria-Teresa & Mura, Roberto, 2016. "Rating friends: The effect of personal connections on credit ratings," Journal of Corporate Finance, Elsevier, vol. 39(C), pages 222-241.
    12. 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.
    13. Becker, Bo & Milbourn, Todd, 2011. "How did increased competition affect credit ratings?," Journal of Financial Economics, Elsevier, vol. 101(3), pages 493-514, September.
    14. 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.
    15. Attig, Najah & Driss, Hamdi & El Ghoul, Sadok, 2020. "Rating standards around the world: A puzzle?," Emerging Markets Review, Elsevier, vol. 45(C).
    16. Baker, H. Kent & Dutta, Shantanu & Saadi, Samir & Zhong, Ligang, 2022. "Does media coverage affect credit rating change decisions?," Journal of Banking & Finance, Elsevier, vol. 145(C).
    17. Patrick Behr & Darren J. Kisgen & Jérôme P. Taillard, 2018. "Did Government Regulations Lead to Inflated Credit Ratings?," Management Science, INFORMS, vol. 64(3), pages 1034-1054, March.
    18. Hung, Mingyi & Kraft, Pepa & Wang, Shiheng & Yu, Gwen, 2022. "Market power and credit rating standards: Global evidence," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    19. Gunter Löffler, 2013. "Can Market Discipline Work in the Case of Rating Agencies? Some Lessons from Moody’s Stock Price," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(2), pages 149-174, April.
    20. Hu, Xiaolu & Shi, Jing & Wang, Lafang & Yu, Jing, 2020. "Foreign ownership in Chinese credit ratings industry: Information revelation or certification?," Journal of Banking & Finance, Elsevier, vol. 118(C).

    More about this item

    Keywords

    Reputation; Spillovers; Divergence; Rating agencies;
    All these keywords.

    JEL classification:

    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

    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:eee:finlet:v:10:y:2013:i:1:p:12-16. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.