IDEAS home Printed from https://ideas.repec.org/a/kap/fmktpm/v19y2005i3p277-295.html
   My bibliography  Save this article

Using a Bootstrap Approach to Rate the Raters

Author

Listed:
  • André Güttler

Abstract

This paper compares the accuracy of credit ratings of Moody's and Standard and Poor's. Based on 11,428 issuer ratings and 350 defaults in several datasets from 1999 to 2003 a slight advantage for the rating system of Moody's is detected. Compared to former research, the robustness of the results is increased by using nonparametric bootstrap approaches. Furthermore, robustness checks are made to control for the impact of watchlist entries, staleness of ratings, and the effect of unsolicited ratings on the results. Copyright Swiss Society for Financial Market Research 2005

Suggested Citation

  • André Güttler, 2005. "Using a Bootstrap Approach to Rate the Raters," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(3), pages 277-295, October.
    • Handle: RePEc:kap:fmktpm:v:19:y:2005:i:3:p:277-295
    DOI: 10.1007/s11408-005-4693-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11408-005-4693-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11408-005-4693-1?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. repec:bla:jfinan:v:53:y:1998:i:4:p:1389-1413 is not listed on IDEAS
    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 03-98, Wharton School Rodney L. White Center for Financial Research.
    3. Cantor, Richard, 2001. "Moody's investors service response to the consultative paper issued by the Basel Committee on Bank Supervision "A new capital adequacy framework"," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 171-185, January.
    4. R. Winkler & Javier Muñoz & José Cervera & José Bernardo & Gail Blattenberger & Joseph Kadane & Dennis Lindley & Allan Murphy & Robert Oliver & David Ríos-Insua, 1996. "Scoring rules and the evaluation of probabilities," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 5(1), pages 1-60, June.
    5. C. H. Furfine & Jeffery D. Amato, 2003. "Are credit ratings procyclical?," BIS Working Papers 129, Bank for International Settlements.
    6. Hand, John R M & Holthausen, Robert W & Leftwich, Richard W, 1992. "The Effect of Bond Rating Agency Announcements on Bond and Stock Prices," Journal of Finance, American Finance Association, vol. 47(2), pages 733-752, June.
    7. Poon, Winnie P. H., 2003. "Are unsolicited credit ratings biased downward?," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 593-614, April.
    8. 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.
    9. 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)

    Citations

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


    Cited by:

    1. Duan, Jin-Chuan & Van Laere, Elisabeth, 2012. "A public good approach to credit ratings – From concept to reality," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3239-3247.
    2. Guttler, Andre & Wahrenburg, Mark, 2007. "The adjustment of credit ratings in advance of defaults," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 751-767, March.
    3. Hauck, Achim & Neyer, Ulrike, 2014. "Disagreement between rating agencies and bond opacity: A theoretical perspective," Economics Letters, Elsevier, vol. 123(1), pages 82-85.

    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. Thomas Mählmann, 2009. "Multiple Credit Ratings, Cost of Debt and Self‐Selection," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(9‐10), pages 1228-1251, November.
    2. Milidonis, Andreas, 2013. "Compensation incentives of credit rating agencies and predictability of changes in bond ratings and financial strength ratings," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3716-3732.
    3. Thomas Mählmann, 2009. "Multiple Credit Ratings, Cost of Debt and Self-Selection," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(9-10), pages 1228-1251.
    4. 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).
    5. Alexandr Karminsky & Anatoly Peresetsky, 2009. "Ratings as Measure of Financial Risk: Evolution, Function and Usage," Journal of the New Economic Association, New Economic Association, issue 1-2, pages 86-102.
    6. Samuel B. Bonsall & Brian P. Miller, 2017. "The impact of narrative disclosure readability on bond ratings and the cost of debt," Review of Accounting Studies, Springer, vol. 22(2), pages 608-643, June.
    7. Van Roy, Patrick, 2005. "Credit ratings and the standardised approach to credit risk in Basel II," Working Paper Series 517, European Central Bank.
    8. Kraft, Pepa & Xie, Yuan & Zhou, Ling, 2020. "The intraday timing of rating changes," Journal of Corporate Finance, Elsevier, vol. 60(C).
    9. Sattar A. Mansi & William F. Maxwell & Darius P. Miller, 2004. "Does Auditor Quality and Tenure Matter to Investors? Evidence from the Bond Market," Journal of Accounting Research, Wiley Blackwell, vol. 42(4), pages 755-793, September.
    10. Purda, Lynnette D., 2005. "Mergers in the bond rating industry: does rating provider matter?," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 155-169, April.
    11. 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.
    12. Becker, Bo & Milbourn, Todd, 2011. "How did increased competition affect credit ratings?," Journal of Financial Economics, Elsevier, vol. 101(3), pages 493-514, September.
    13. Eleimon Gonis & Salima Paul & Jon Tucker, 2012. "Rating or no rating? That is the question: an empirical examination of UK companies," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 709-735, September.
    14. Federica Salvadè, 2018. "Is less information better information? Evidence from the credit rating withdrawal," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 139-157, July.
    15. 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.
    16. Shen, Chung-Hua & Huang, Yu-Li & Hasan, Iftekhar, 2012. "Asymmetric benchmarking in bank credit rating," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(1), pages 171-193.
    17. Huang, Yu-Li & Shen, Chung-Hua, 2019. "What role does the investor-paid rating agency play in China? Competitor or information provider," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 253-272.
    18. Salvador, Carlos & Fernández de Guevara, Juan & Pastor, José Manuel, 2018. "The adjustment of bank ratings in the financial crisis: International evidence," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 289-313.
    19. Rubina Shaheen & Attiya Yasmin Javid, 2014. "Effect of Credit Rating on Firm Performance and Stock Return; Evidence form KSE Listed Firms," PIDE-Working Papers 2014:104, Pakistan Institute of Development Economics.
    20. Winnie P. H. Poon & Junsoo Lee & Benton E. Gup, 2009. "Do Solicitations Matter in Bank Credit Ratings? Results from a Study of 72 Countries," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 285-314, March.

    More about this item

    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:kap:fmktpm:v:19:y:2005:i:3:p:277-295. 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.