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Statistical properties and stability of ratings in a subset of US firms

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  • Alexander B. Matthies

Abstract

Standard explanatory variables that determine credit ratings do not achieve significant effects in a sample of 100 US non-financial firms in an ordered probit panel estimation. Sample size and selection as well as the distribution of explanatory variables across rating classes may be the cause this problem. Furthermore, we find evidence to suggest that variable coefficients vary over rating classes when analysed with an unordered loogit model. The sample reproduces well-established macroeconomic effects of credit ratings found by Blume et al. (1998) and highlights the influence of the rating agencies’ through-the-cycle approach on rating transitions.

Suggested Citation

  • Alexander B. Matthies, 2013. "Statistical properties and stability of ratings in a subset of US firms," SFB 649 Discussion Papers SFB649DP2013-002, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Handle: RePEc:hum:wpaper:sfb649dp2013-002
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    References listed on IDEAS

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    1. ., 2004. "Market dynamics associated with credit ratings: a literature review," Financial Stability Review, Banque de France, issue 4, pages 77-93, June.
    2. Katz, Steven, 1974. "The Price Adjustment Process of Bonds to Rating Reclassifications: A Test of Bond Market Efficiency," Journal of Finance, American Finance Association, vol. 29(2), pages 551-559, May.
    3. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000. "Stability of rating transitions," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 203-227, January.
    4. 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.
    5. Gonzalez, F. & Haas, F. & Johannes, R. & Persson, M. & Toledo, L. & Violi, R. & Zins, C. & Wieland, M., 2004. "Market dynamics associated with credit ratings: a literature review," Financial Stability Review, Banque de France, issue 4, pages 53-76, June.
    6. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    7. Amato, Jeffery D. & Furfine, Craig H., 2004. "Are credit ratings procyclical?," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2641-2677, November.
    8. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    9. 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.
    10. Sanjeev Bhojraj & Partha Sengupta, 2003. "Effect of Corporate Governance on Bond Ratings and Yields: The Role of Institutional Investors and Outside Directors," The Journal of Business, University of Chicago Press, vol. 76(3), pages 455-476, July.
    11. Ram T. S. Ramakrishnan & Anjan V. Thakor, 1984. "Information Reliability and a Theory of Financial Intermediation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 415-432.
    12. Lando, David & Skodeberg, Torben M., 2002. "Analyzing rating transitions and rating drift with continuous observations," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 423-444, March.
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    More about this item

    Keywords

    Rating agency; Business cycle; Through-the-cycle rating methodology; Method comparison;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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