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Reconsidering Corporate Ratings

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Abstract

In this paper, a new corporate ratings methodology is proposed. In this innovating approach corporate ratings are calibrated from data with different frequency in two-steps. Information of firms' credit quality from annual accounting ratios and daily credit derivative spreads yields are combined through a Bayesian approach. To test the performance of this new rating, an empirical analysis is carried out on a sample of 197 public traded international corporations with credit ratings from the big-three credit rating agencies. The ratings generated from the presented approach perform better than the ratings from the external agencies as it is more representative of companies' credit quality over time, therefore this approach is a suitable alternative to internal rating methods

Suggested Citation

  • Bertrand K Hassani & Xin Zhao, 2014. "Reconsidering Corporate Ratings," Documents de travail du Centre d'Economie de la Sorbonne 14077, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    • Handle: RePEc:mse:cesdoc:14077
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    1. 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.
    2. Louis H. Ederington & Jess B. Yawitz & Brian E. Roberts, 1987. "The Informational Content Of Bond Ratings," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 10(3), pages 211-226, September.
    3. Patrick Bolton & Xavier Freixas & Joel Shapiro, 2012. "The Credit Ratings Game," Journal of Finance, American Finance Association, vol. 67(1), pages 85-112, February.
    4. Hull, John & Predescu, Mirela & White, Alan, 2004. "The relationship between credit default swap spreads, bond yields, and credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2789-2811, November.
    5. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
    6. repec:bla:jfinan:v:53:y:1998:i:4:p:1389-1413 is not listed on IDEAS
    7. 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.
    8. Oliver Hart & Luigi Zingales, 2011. "A New Capital Regulation for Large Financial Institutions," American Law and Economics Review, American Law and Economics Association, vol. 13(2), pages 453-490.
    9. 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.
    10. 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.
    11. Heflin, Frank & Shaw, Kenneth W. & Wild, John J., 2011. "Credit ratings and disclosure channels," Research in Accounting Regulation, Elsevier, vol. 23(1), pages 20-33.
    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. Efraim Benmelech & Jennifer Dlugosz, 2010. "The Credit Rating Crisis," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 161-207, National Bureau of Economic Research, Inc.
    14. Kim, Yoonseong & Sohn, So Young, 2008. "Random effects model for credit rating transitions," European Journal of Operational Research, Elsevier, vol. 184(2), pages 561-573, January.
    15. Marian Micu & Eli M Remolona & Philip D Wooldridge, 2004. "The price impact of rating announcements: evidence from the credit default swap market," BIS Quarterly Review, Bank for International Settlements, June.
    16. Altman, Edward I. & Rijken, Herbert A., 2004. "How rating agencies achieve rating stability," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2679-2714, November.
    17. Lawrence J. White, 2010. "Markets: The Credit Rating Agencies," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 211-226, Spring.
    18. Ren-Raw Chen & Xiaolin Cheng & Liuren Wu, 2013. "Dynamic Interactions Between Interest-Rate and Credit Risk: Theory and Evidence on the Credit Default Swap Term Structure-super-," Review of Finance, European Finance Association, vol. 17(1), pages 403-441.
    19. Lo, Andrew W., 1986. "Logit versus discriminant analysis : A specification test and application to corporate bankruptcies," Journal of Econometrics, Elsevier, vol. 31(2), pages 151-178, March.
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    More about this item

    Keywords

    Corporate Rating; market implied rating; corporate Bond Yields;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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