IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v54y2020ics1062940820301832.html
   My bibliography  Save this article

Is there valuable private information in credit ratings?

Author

Listed:
  • Alanis, Emmanuel

Abstract

Credit rating agencies (CRAs) contend their ratings contain a quantitative assessment based on hard information, and a qualitative adjustment based on private information. We study if the qualitative portion of ratings, generated with the companies’ own private information, contains valuable information for equity investors. We generate predicted ratings based on hard information alone and form portfolios of stocks based on the difference between observed and predicted ratings. Over a sample from 1998 to 2018, we find that stock portfolios formed on the basis of private information generate 2% to 4% in annual risk-adjusted returns. We also find that companies with positive private information have better future accounting performance. Our results suggest that CRAs bring valuable information to the market and investors could benefit from it.

Suggested Citation

  • Alanis, Emmanuel, 2020. "Is there valuable private information in credit ratings?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940820301832
    DOI: 10.1016/j.najef.2020.101293
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940820301832
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.najef.2020.101293?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. Jorion, Philippe & Liu, Zhu & Shi, Charles, 2005. "Informational effects of regulation FD: evidence from rating agencies," Journal of Financial Economics, Elsevier, vol. 76(2), pages 309-330, 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. 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.
    4. Patrick Bolton & Xavier Freixas & Joel Shapiro, 2012. "The Credit Ratings Game," Journal of Finance, American Finance Association, vol. 67(1), pages 85-112, February.
    5. Kraft, Pepa, 2015. "Do rating agencies cater? Evidence from rating-based contracts," Journal of Accounting and Economics, Elsevier, vol. 59(2), pages 264-283.
    6. Ilia D. Dichev & Joseph D. Piotroski, 2001. "The Long‐Run Stock Returns Following Bond Ratings Changes," Journal of Finance, American Finance Association, vol. 56(1), pages 173-203, February.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. 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.
    9. Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
    10. Sangiorgi, Francesco & Spatt, Chester, 2017. "The Economics of Credit Rating Agencies," Foundations and Trends(R) in Finance, now publishers, vol. 12(1), pages 1-116, December.
    11. Kemper, Kristopher J. & Mortenson, Kristian, 2020. "Procyclical ratings and market reactions," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    12. 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.
    13. Sudheer Chava & Michael R. Roberts, 2008. "How Does Financing Impact Investment? The Role of Debt Covenants," Journal of Finance, American Finance Association, vol. 63(5), pages 2085-2121, October.
    14. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    15. Becker, Bo & Milbourn, Todd, 2011. "How did increased competition affect credit ratings?," Journal of Financial Economics, Elsevier, vol. 101(3), pages 493-514, September.
    16. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    17. Avramov, Doron & Chordia, Tarun & Jostova, Gergana & Philipov, Alexander, 2009. "Credit ratings and the cross-section of stock returns," Journal of Financial Markets, Elsevier, vol. 12(3), pages 469-499, August.
    18. Opp, Christian C. & Opp, Marcus M. & Harris, Milton, 2013. "Rating agencies in the face of regulation," Journal of Financial Economics, Elsevier, vol. 108(1), pages 46-61.
    19. repec:fth:pennfi:67 is not listed on IDEAS
    20. Carmona, Pedro & Climent, Francisco & Momparler, Alexandre, 2019. "Predicting failure in the U.S. banking sector: An extreme gradient boosting approach," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 304-323.
    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. Yu, Baojun & Li, Changming & Mirza, Nawazish & Umar, Muhammad, 2022. "Forecasting credit ratings of decarbonized firms: Comparative assessment of machine learning models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

    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. 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.
    2. Kraft, Pepa & Xie, Yuan & Zhou, Ling, 2020. "The intraday timing of rating changes," Journal of Corporate Finance, Elsevier, vol. 60(C).
    3. Dimitrov, Valentin & Palia, Darius & Tang, Leo, 2015. "Impact of the Dodd-Frank act on credit ratings," Journal of Financial Economics, Elsevier, vol. 115(3), pages 505-520.
    4. 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.
    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. Sumit Agarwal & Vincent Y. S. Chen & Weina Zhang, 2016. "The Information Value of Credit Rating Action Reports: A Textual Analysis," Management Science, INFORMS, vol. 62(8), pages 2218-2240, August.
    7. 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).
    8. Rieber, Alexander, 2021. "Regulating a highly concentrated industry: Implications fromDodd-Frank," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242434, Verein für Socialpolitik / German Economic Association.
    9. Jens Hilscher & Mungo Wilson, 2017. "Credit Ratings and Credit Risk: Is One Measure Enough?," Management Science, INFORMS, vol. 63(10), pages 3414-3437, October.
    10. 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).
    11. Chen, Yongmin & Gu, Dingwei & Yao, Zhiyong, 2013. "Rating Inflation versus Deflation: On Procyclical Credit Ratings," MPRA Paper 51159, University Library of Munich, Germany.
    12. 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.
    13. Javed I. Ahmed, 2014. "Competition in Lending and Credit Ratings," Working Papers 14-01, Office of Financial Research, US Department of the Treasury.
    14. Agoraki, Maria-Eleni & Gounopoulos, Dimitrios & Kouretas, Georgios P., 2021. "Market expectations and the impact of credit rating on the IPOs of U.S. banks," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 587-610.
    15. Attig, Najah & Driss, Hamdi & El Ghoul, Sadok, 2020. "Rating standards around the world: A puzzle?," Emerging Markets Review, Elsevier, vol. 45(C).
    16. Lawrence J. White, 2013. "Credit Rating Agencies: An Overview," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 93-122, November.
    17. 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).
    18. Mo, Guiqing & Gao, Zhi & Zhou, Lei, 2021. "China's no-bailout reform: Impact on bond yields and rating standards," Journal of Banking & Finance, Elsevier, vol. 133(C).
    19. 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.
    20. Kisgen, Darren J. & Nickerson, Jordan & Osborn, Matthew & Reuter, Jonathan, 2020. "Analyst Promotions within Credit Rating Agencies: Accuracy or Bias?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(3), pages 869-896, May.

    More about this item

    Keywords

    Credit ratings; Risk-adjusted returns; Credit rating agencies; Ratings shopping;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:ecofin:v:54:y:2020:i:c:s1062940820301832. 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/inca/620163 .

    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.