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The Informational Content of Bond Ratings

Author

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  • Louis H. Ederington
  • Jess B. Yawitz
  • Brian E. Roberts

Abstract

This paper explores the risk structure of interest rates. More specifically, we ask whether yields on industrial and commercial bonds indicate that market participants base their evaluations of a bond issue's default risk on agency ratings or on publically available financial statistics. Using a non-linear least squares procedure, we relate the yield to maturity to Moody's rating, Standard & Poor's rating, and accounting measures of credit worthiness such as coverage and leverage. We find that market yields are significantly correlated with both the ratings and with a set of readily available financial accounting statistics. These results indicate (1) that market participants base their evaluations of an issue's credit worthiness on more than the agencies' ratings and (2) that the ratings bring some information to the market above and beyond that contained in the set of accounting variables. In addition, our results suggest that the market views Moody's and S&P's ratings as equally reliable measures of risk. Although the accounting measures also affect yields on new or recently reviewed issues, our analysis suggests that the market may pay more attention to the accounting measures and less to the ratings if the rating has not been reviewed recently.

Suggested Citation

  • Louis H. Ederington & Jess B. Yawitz & Brian E. Roberts, 1984. "The Informational Content of Bond Ratings," NBER Working Papers 1323, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:1323
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    1. Yawitz, Jess B., 1977. "An Analytical Model of Interest Rate Differentials and Different Default Recoveries," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(3), pages 481-490, September.
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    6. Weinstein, Mark, 1981. "The Systematic Risk of Corporate Bonds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(3), pages 257-278, September.
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    Cited by:

    1. Arundina, Tika & Azmi Omar, Mohd. & Kartiwi, Mira, 2015. "The predictive accuracy of Sukuk ratings; Multinomial Logistic and Neural Network inferences," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 273-292.
    2. Subramaniam, Chandra & Mark, Richard S., 2010. "An evaluation of the FIN 46R consolidation standard," Research in Accounting Regulation, Elsevier, vol. 22(2), pages 133-136.
    3. Wahyudi, Imam & Robbi, Abdu, 2009. "Exploring Determinant Factors of Bond Trading with Inventory Management Theory (Case Study of Indonesian Capital Market, January – March 2009)," MPRA Paper 59883, University Library of Munich, Germany, revised 16 Jul 2010.
    4. Arnoud W. A. Boot & Todd T. Milbourn & Anjolein Schmeits, 2006. "Credit Ratings as Coordination Mechanisms," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 81-118.
    5. Dr. Misnen Ardiansyah, M.Si Author_Email: & Abdul Qoyum, 2011. "Testing The Semi-Strong Form Efficiency Of Islamic Capital Market With Response To Information Content Of Dividend Announcement- A Study In Jakarta Islamic Index," International Conference on Management (ICM 2011) Proceeding 2011-094-374, Conference Master Resources.
    6. Wallace N. Davidson III & John L. Glascock, 1985. "The Announcement Effects Of Preferred Stock Re-Ratings," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 8(4), pages 317-325, December.

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