IDEAS home Printed from https://ideas.repec.org/p/usg/sfwpfi/201505.html
   My bibliography  Save this paper

Competition in the Credit Rating Industry: Benefits for Investors and Issuers

Author

Listed:
  • Morkoetter, Stefan
  • Stebler, Roman
  • Westerfeld, Simone

Abstract

We empirically investigate the benefits of multiple ratings not only at issuance of debt instruments but also during the subsequent monitoring phase. Using a record of monthly credit rating migration data on all U.S. residential mortgage-backed securities rated by Standard & Poor's, Moody's, and Fitch between 1985 and 2012 (154'600 tranches), our results provide empirical evidence that rating agencies put more effort in rating and outlook revisions when tranches have assigned multiple ratings. Furthermore, we demonstrate that in the case of multiple ratings, agencies do a better job in discriminating tranches with respect to default risk. On the downside, we observe a shift in collateral towards senior tranches and incentives for issuers to engage in rating shopping activities, but find no evidence that rating agencies exploit such behavior to attract more rating business. Our results contribute to the literature on information production of credit ratings and extend the perspective to the monitoring period after issuance.

Suggested Citation

  • Morkoetter, Stefan & Stebler, Roman & Westerfeld, Simone, 2015. "Competition in the Credit Rating Industry: Benefits for Investors and Issuers," Working Papers on Finance 1505, University of St. Gallen, School of Finance, revised Feb 2016.
  • Handle: RePEc:usg:sfwpfi:2015:05
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/sfwpfi/WPF-1505.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Walter Krämer & André Güttler, 2008. "On comparing the accuracy of default predictions in the rating industry," Empirical Economics, Springer, vol. 34(2), pages 343-356, March.
    2. Patrick Bolton & Xavier Freixas & Joel Shapiro, 2012. "The Credit Ratings Game," Journal of Finance, American Finance Association, vol. 67(1), pages 85-112, February.
    3. Efing, Matthias & Hau, Harald, 2015. "Structured debt ratings: Evidence on conflicts of interest," Journal of Financial Economics, Elsevier, vol. 116(1), pages 46-60.
    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. Dion Bongaerts & K. J. Martijn Cremers & William N. Goetzmann, 2012. "Tiebreaker: Certification and Multiple Credit Ratings," Journal of Finance, American Finance Association, vol. 67(1), pages 113-152, February.
    6. Yuliya Demyanyk & Otto Van Hemert, 2011. "Understanding the Subprime Mortgage Crisis," The Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 1848-1880.
    7. Holly Janes & Margaret S. Pepe, 2009. "Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve," Biometrika, Biometrika Trust, vol. 96(2), pages 371-382.
    8. Stefano Lugo & Annalisa Croce & Robert Faff, 2015. "Herding Behavior and Rating Convergence among Credit Rating Agencies: Evidence from the Subprime Crisis," Review of Finance, European Finance Association, vol. 19(4), pages 1703-1731.
    9. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 393-414.
    10. Cantor, Richard & Packer, Frank, 1997. "Differences of opinion and selection bias in the credit rating industry," Journal of Banking & Finance, Elsevier, vol. 21(10), pages 1395-1417, October.
    11. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    12. Andrew W. Lo, 2012. "Reading about the Financial Crisis: A Twenty-One-Book Review," Journal of Economic Literature, American Economic Association, vol. 50(1), pages 151-178, March.
    13. Tamás Bartus, 2005. "Estimation of marginal effects using margeff," Stata Journal, StataCorp LP, vol. 5(3), pages 309-329, September.
    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. Wei Tian & Xiangyun Zhou & Yixiang Tian & Wei Meng, 2020. "Short-term competition and long-term convergence between domestic and global rating agencies: Evidence from China," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    2. Kladakis, George & Chen, Lei & Bellos, Sotirios K., 2020. "Bank asset and informational quality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    3. 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.
    4. Victor Olkhov, 2020. "Business Cycles as Collective Risk Fluctuations," Papers 2012.04506, arXiv.org.
    5. 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.
    6. Kilian R. Dinkelaker & Andreas-Walter Mattig & Stefan Morkoetter, 2019. "A Closer Look at Credt Rating Processes: Uncovering the Impact of Analyst Rotation," Working Papers on Finance 1911, University of St. Gallen, School of Finance.
    7. Kladakis, George & Chen, Lei & Bellos, Sotirios K., 2022. "Multiple credit ratings and liquidity creation," Finance Research Letters, Elsevier, vol. 46(PA).
    8. 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).
    9. Xiangyun Zhou, 2021. "Can the dual-rating regulation improve the rating quality of Chinese corporate bonds?," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-15, December.
    10. 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.
    11. Deng, Kaihua & Qiao, Guannan, 2022. "Triple A default," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    12. Drago, Danilo & Gallo, Raffaele, 2018. "Do multiple credit ratings affect syndicated loan spreads?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 1-16.
    13. Doumpos, Michalis & Figueira, José Rui, 2019. "A multicriteria outranking approach for modeling corporate credit ratings: An application of the Electre Tri-nC method," Omega, Elsevier, vol. 82(C), pages 166-180.

    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. Drago, Danilo & Gallo, Raffaele, 2018. "Do multiple credit ratings affect syndicated loan spreads?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 1-16.
    2. Kilian R. Dinkelaker & Andreas-Walter Mattig & Stefan Morkoetter, 2019. "A Closer Look at Credt Rating Processes: Uncovering the Impact of Analyst Rotation," Working Papers on Finance 1911, University of St. Gallen, School of Finance.
    3. Mathias Kronlund, 2020. "Do Bond Issuers Shop for Favorable Credit Ratings?," Management Science, INFORMS, vol. 66(12), pages 5944-5968, December.
    4. Kladakis, George & Chen, Lei & Bellos, Sotirios K., 2020. "Bank asset and informational quality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    5. Hirth, Stefan, 2014. "Credit rating dynamics and competition," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 100-112.
    6. Lugo, Stefano, 2014. "Discretionary ratings and the pricing of subprime mortgage-backed securities," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 248-260.
    7. 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).
    8. 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.
    9. Abidi, Nordine & Falagiarda, Matteo & Miquel-Flores, Ixart, 2023. "Quantitative easing and credit rating agencies," International Review of Financial Analysis, Elsevier, vol. 86(C).
    10. Bakalyar, Inna & Galil, Koresh, 2014. "Rating shopping and rating inflation in Israel," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 270-280.
    11. 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).
    12. 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.
    13. Huang, Yu-Li & Shen, Chung-Hua, 2021. "From revenue to safety: Rating agencies have changed their concerns after the crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    14. Vink, Dennis & Nawas, Mike & van Breemen, Vivian, 2021. "Security design and credit rating risk in the CLO market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    15. Kempf, Elisabeth, 2017. "The Job Rating Game: The Effects of Revolving Doors on Analyst Incentives," Working Papers 258, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    16. Tobias Götze & Marc Gürtler & Eileen Witowski, 2020. "Improving CAT bond pricing models via machine learning," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 428-446, September.
    17. Jiang, Xianfeng & Packer, Frank, 2019. "Credit ratings of Chinese firms by domestic and global agencies: Assessing the determinants and impact," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 178-193.
    18. Gwion Williams & Rasha Alsakka & Owain ap Gwilym, 2013. "The Impact of Sovereign Credit Signals on Bank Share Prices during the European Sovereign Debt Crisis," Working Papers 13007, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    19. Kladakis, George & Chen, Lei & Bellos, Sotirios K., 2022. "Multiple credit ratings and liquidity creation," Finance Research Letters, Elsevier, vol. 46(PA).
    20. Ozerturk, Saltuk, 2014. "Ratings as regulatory stamps," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 17-29.

    More about this item

    Keywords

    Multiple Ratings; Information Production; Structured Finance; Rating Agencies; Residential Mortgage-backed Securities; Rating Shopping;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    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:usg:sfwpfi:2015:05. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cfisgch.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.