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

  • Alexander B. Matthies
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    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.

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    Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2013-002.

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    Length: 35 pages
    Date of creation: Jan 2013
    Date of revision:
    Handle: RePEc:hum:wpaper:sfb649dp2013-002
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    1. Fernando Gonzalez & François Haas & Ronald Johannes & Mattias Persson & Liliana Toledo & Roberto Violi & Martin Wieland & Carmen Zins, 2004. "Market dynamics associated with credit ratings - a literature review," Occasional Paper Series 16, European Central Bank.
    2. 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, 09.
    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. Ram T. S. Ramakrishnan & Anjan V. Thakor, 1984. "Information Reliability and a Theory of Financial Intermediation," Review of Economic Studies, Oxford University Press, vol. 51(3), pages 415-432.
    5. 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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