IDEAS home Printed from https://ideas.repec.org/p/boj/bojwps/07-e-11.html
   My bibliography  Save this paper

Credit Rating Gaps in Japan: Differences between Solicited and Unsolicited Ratings, and "Rating Splits"

Author

Listed:
  • Naoto Shimoda

    (Bank of Japan)

  • Yuko Kawai

    (Bank of Japan)

Abstract

Credit ratings have become an indispensable part of the fundamental information infrastructure of credit markets. Credit ratings cover a wide range of issuers including governments, governmental organizations, municipalities, nonfinancial companies and financial institutions, and also cover securitized products. For users, credit ratings are readily available tools to grasp the credit quality of securities (or issuers), as they rank, in the simple form of letter symbols, the ability of issuers to repay creditors in a timely manner in accordance with contractual obligations. It is necessary to fully understand the credit rating criteria, policies, and characteristics of rating agencies when users refer to credit ratings in making investment decisions or for other purposes. This paper attempts to clarify the current status and facts behind the two types of "rating gaps," which must be taken note of by users of credit ratings. These are (1) differences between solicited and unsolicited ratings, and (2) differences in ratings assigned to the same securities or issuers by different rating agencies, i.e., the "rating splits." We focus on the credit ratings of Japanese corporations; i.e., B6nonfinancial companies and nonbank financial companies, excluding banks and other types of financial institutions. While these differences have often been qualitatively discussed, this paper places emphasis on quantitative and objective analyses. In the analyses, although we use data of specific rating agencies, our focus is purely on the "differences," and we do not intend to rank the appropriateness of individual credit ratings. With regard to differences between solicited and unsolicited ratings, our results show that unsolicited ratings tend to be lower than solicited ratings, concurring with general views, and that such differences have been narrowing and are on average less than one notch recently. We calculate the differences, based on several assumptions, using credit ratings assigned by Standard and Poor's Ratings Services and Rating and Investment Information, as they disclose the distinctions of solicited and unsolicited ratings. The backdrop of such rating gaps may include disparity in the level of information available to rating agencies as well as cherry picking actions by the issuers. Some point out that solicited-unsolicited gaps are narrowing due to improvements in corporate disclosure among other factors, and the results of our analyses are consistent with such view. In addition, looking at the practices of credit rating usages by investors, they do not seem to distinguish solicited and unsolicited ratings in many cases. However, strong and deep-rooted concerns over the reliability of unsolicited ratings remain especially among issuers. In this respect, the issue of differences between solicited and unsolicited ratings deserves further analyses from various perspectives. In regard to rating splits, the findings are that on average a three-notch difference exists for a certain issuer between the highest rating assigned by one rating agency and the lowest rating by another rating agency. The existence of rating splits may indicate that the same credit rating symbols may signify dissimilar credit qualities by each rating agency, in other words rating scales may differ. In many cases, investors, in using credit ratings, seem to make necessary adjustments considering rating splits. We believe comparison against default rates is the ultimate test of rating splits, and assessments using data currently available suggest that differences stay within a certain range. Further analyses are also required in this respect, however, because data constraints, such as available amount of data for default rates and lengths of the sample period, are still large in Japan.

Suggested Citation

  • Naoto Shimoda & Yuko Kawai, 2007. "Credit Rating Gaps in Japan: Differences between Solicited and Unsolicited Ratings, and "Rating Splits"," Bank of Japan Working Paper Series 07-E-11, Bank of Japan.
  • Handle: RePEc:boj:bojwps:07-e-11
    as

    Download full text from publisher

    File URL: http://www.boj.or.jp/en/research/wps_rev/wps_2007/data/wp07e11.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lawrence J. White, 2001. "The Credit Rating Industry: An Industrial Organization Analysis," Working Papers 01-02, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Patrick Roy, 2013. "Is There a Difference Between Solicited and Unsolicited Bank Ratings and, If So, Why?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 53-86, August.
    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. 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.
    2. Winnie P. H. Poon & Kam C. Chan, 2010. "Solicited and Unsolicited Credit Ratings : A Global Perspective," Finance Working Papers 22815, East Asian Bureau of Economic Research.
    3. Byoun, Soku & Han, Seung Hun & Shin, Yoon S., 2021. "Does the Nationally Recognized Statistical Rating Organization certification matter for Japanese credit rating agencies?," Journal of Financial Markets, Elsevier, vol. 56(C).
    4. Patrick Roy, 2013. "Is There a Difference Between Solicited and Unsolicited Bank Ratings and, If So, Why?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 53-86, August.
    5. Byoun, Soku, 2014. "Information content of unsolicited credit ratings and incentives of rating agencies: A theory," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 338-349.

    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. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    2. 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.
    3. Byoun, Soku & Fulkerson, Jon A. & Han, Seung Hun & Shin, Yoon S., 2014. "Are unsolicited ratings biased? Evidence from long-run stock performance," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 326-338.
    4. Christina E. Bannier & Patrick Behr & Andre Güttler, 2010. "Rating opaque borrowers: why are unsolicited ratings lower?," Review of Finance, European Finance Association, vol. 14(2), pages 263-294.
    5. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    6. Eleimon Gonis & Peter Taylor, 2009. "Changing credit rating standards in the UK: empirical evidence from 1999 to 2004," Applied Financial Economics, Taylor & Francis Journals, vol. 19(3), pages 213-225.
    7. Javed I. Ahmed, 2014. "Competition in Lending and Credit Ratings," Working Papers 14-01, Office of Financial Research, US Department of the Treasury.
    8. Koresh Galil, 2005. "Ratings as Predictors of Default in the Long Term:an Empirical Investigation," Working Papers 0505, Ben-Gurion University of the Negev, Department of Economics.
    9. Cheng, Mei & Neamtiu, Monica, 2009. "An empirical analysis of changes in credit rating properties: Timeliness, accuracy and volatility," Journal of Accounting and Economics, Elsevier, vol. 47(1-2), pages 108-130, March.
    10. Volkova, Olga (Волкова, Ольга) & Lvova, Irina (Львова, Ирина), 2016. "The bank's rating, the rating agencies, Basel II of, financial indicator, the econometric model [Влияние Финансовых Показателей На Международные Рейтинги Российских Банков]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 177-195, February.
    11. Bonsall, Samuel B., 2014. "The impact of issuer-pay on corporate bond rating properties: Evidence from Moody׳s and S&P׳s initial adoptions," Journal of Accounting and Economics, Elsevier, vol. 57(2), pages 89-109.
    12. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    13. Patrycja Chodnicka-Jaworska, 2017. "Rating kredytowy emitenta i inwestora – porównanie wp³ywu determinant," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(66), pages 64-78.
    14. Poon, Winnie P. H. & Chan, Kam C., 2010. "Solicited and Unsolicited Credit Ratings: A Global Perspective," ADBI Working Papers 244, Asian Development Bank Institute.
    15. Klusak, Patrycja & Thornton, John & Uymaz, Yurtsev, 2020. "Do personal connections improve sovereign credit ratings?," Finance Research Letters, Elsevier, vol. 33(C).
    16. Klusak, Patrycja & Alsakka, Rasha & Gwilym, Owain ap, 2017. "Does the disclosure of unsolicited sovereign rating status affect bank ratings?," The British Accounting Review, Elsevier, vol. 49(2), pages 194-210.
    17. Pompella, Maurizio & Dicanio, Antonio, 2017. "Ratings based Inference and Credit Risk: Detecting likely-to-fail Banks with the PC-Mahalanobis Method," Economic Modelling, Elsevier, vol. 67(C), pages 34-44.
    18. Wilhelm Jr, William J & Chen, Zhaohui, 2005. "The Industrial Organization of Financial Market Information Production," CEPR Discussion Papers 5314, C.E.P.R. Discussion Papers.
    19. Yilmaz Bayar, 2014. "Recent Financial Crises and Regulations on the Credit Rating Agencies," Research in World Economy, Research in World Economy, Sciedu Press, vol. 5(1), pages 49-58, March.
    20. Til Schuermann & Yusuf Jafry, 2003. "Measurement and Estimation of Credit Migration Matrices," Center for Financial Institutions Working Papers 03-08, Wharton School Center for Financial Institutions, University of Pennsylvania.

    More about this item

    Keywords

    Credit Rating; Unsolicited Rating; Rating Split; Credit Risk; Default Rate; Disclosure; Basel II;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

    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:boj:bojwps:07-e-11. 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: Bank of Japan (email available below). General contact details of provider: https://edirc.repec.org/data/bojgvjp.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.