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Rating agencies state that they take a rating action only when it is unlikely to be reversed shortly afterwards. Based on a formal representation of the rating process, I show that such a policy provides a good explanation for the empirical evidence: Rating changes occur relatively seldom, exhibit serial dependence, and lag changes in the issuers’ default risk. In terms of informational losses, avoiding rating reversals can be more harmful than monitoring credit quality only twice per year.
The experience in the period during and after the Asian crisis of 1997-98 has provoked an extensive debate about the credit rating agencies' evaluation of sovereign risk in emerging markets lending. This study analyzes the role of credit rating agencies in international finan-cial markets, particularly whether sovereign credit ratings have an impact on the financial stability in emerging market economies. The event study and panel regression results indicate that credit rating agencies have substantial influence on the size and volatility of emerging markets lending. The empirical results are significantly stronger in the case of government's downgrades and negative imminent sovereign credit rating actions such as credit watches and rating outlooks than positive adjustments by the credit rating agencies while by the market participants' anticipated sovereign credit rating changes have a smaller impact on financial markets in emerging economies.
This paper compares the accuracy of credit ratings of Moody s and Standard&Poors. Based on 11,428 issuer ratings and 350 defaults in several datasets from 1999 to 2003 a slight advantage for the rating system of Moody s is detected. Compared to former research the robustness of the results is increased by using nonparametric bootstrap approaches. Furthermore, robustness checks are made to control for the impact of Watchlist entries, staleness of ratings and the effect of unsolicited ratings on the results.