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Sovereign credit rating downgrades and Growth-at-Risk

Kladakis, G. and Skouralis, A. ORCID: https://orcid.org/0000-0003-0835-1457 (2025) Sovereign credit rating downgrades and Growth-at-Risk. Journal of International Financial Markets, Institutions and Money, 103. 102195. ISSN 1873-0612

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To link to this item DOI: 10.1016/j.intfin.2025.102195

Abstract/Summary

This paper examines whether sovereign credit rating changes are linked to increased future macroeconomic downside risks based on the Growth-at-Risk framework by Adrian et al. (2019). Our findings reveal that downgrades significantly increase tail risk by lowering the 5th percentile of four-quarters ahead GDP growth by 2.95 percentage points, whereas upgrades yield a smaller and inconsistent effect of 0.45 percentage points. Standard panel OLS results show a reduced impact of 1.11 percentage points on GDP growth following a downgrade, underscoring the importance of examining effects beyond the mean. Further analysis reveals an asymmetrical impact across quantiles and time horizons, with speculative-grade countries particularly vulnerable to downgrades. Downgrades from all major agencies affect tail risk, with Fitch having the largest negative impact, while only Moody’s upgrades have a significant effect. Moreover, our empirical evidence suggests that the effect of credit rating downgrades is, at least partially mitigated, by the adoption of post-GFC regulatory reforms, aligning with these policies’ aim to reduce reliance on CRAs and enhance financial stability. Lastly, our analysis identifies investment and sovereign bond spreads as key channels through which downgrades affect macroeconomic outcomes, however, only the latter is significantly associated with downside risks to GDP growth. Robustness tests that include endogeneity checks, additional controls, alternative CRA data and quantile regression methodology, confirm our findings.

Item Type:Article
Refereed:Yes
Divisions:Henley Business School > Real Estate and Planning
ID Code:123414
Publisher:Elsevier

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