Sovereign credit ratings, emerging market risk and financial market volatility
This study has investigated to which extent rating events influence sovereign bond yield spreads and overall financial market volatility. While rating agencies are part and parcel of today?s financial markets, the study succeeds in tracing some independent effect that ratings exert on financial market prices. First, our Granger causality test cautions against overestimating the independent longrun impact that sovereign credit ratings exert on the financial-market assessment of sovereign risk, however. The financial market and the two leading rating agencies appear broadly to share the same model in that assessment. As indicated by the explanatory power of the equations that underlie the causality test, dollar bond spreads and a set of default determinants seem to explain somewhat better the level of credit ratings than vice versa. The mutual interaction between sovereign yield spreads and ratings may be characterised by the nature of sovereign risk (requiring assessments on present and future willingness rather than only ability to pay), the information content of sovereign risk ratings (?contaminating? rating changes with other publicly-available news) and the industrial organisation of the rating industry (introducing an upward bias in sovereign ratings). Second, contrary to our expectations, our event studies find a highly significant announcement effect – obviously muted by strong market anticipation – when emerging-market sovereign bonds are put on review with negative outlook. The result may surprise, beyond the above considerations, because the rating of these bonds is fairly new to the industry; this lack of experience is reflected by a high degree of split ratings. Negative rating announcements seem also to be effective in the aftermath of rating deteriorations (possibly not fully captured by the length of our observation window), as investors are incited to reorient their portfolios. Positive rating events, by contrast, do not seem to have a significant an
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Volume (Year): 33 (1998)
Issue (Month): 2 (March)
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References listed on IDEAS
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- Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
- Richard Cantor & Frank Packer, 1996.
"Determinants and impact of sovereign credit ratings,"
Economic Policy Review,
Federal Reserve Bank of New York, issue Oct, pages 37-53.
- Richard Cantor & Frank Packer, 1996. "Determinants and impacts of sovereign credit ratings," Research Paper 9608, Federal Reserve Bank of New York.