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Early warning systems for sovereign debt crises: The role of heterogeneity
Authors:Ana-Maria Fuertes  Elena Kalotychou
Affiliation:Faculty of Finance, Cass Business School, City University, 106 Bunhill Row, London EC1Y 8TZ, UK
Abstract:Sovereign default models that differ in their treatment of unobservable country, regional and time heterogeneities are systematically compared. The analysis is based on annual data over the 1983-2002 period for 96 developing economies. Inference-based criteria and parameter plausibility overwhelmingly favour more complex models that allow the link between the probability response and the fundamentals to vary over time and across countries. However, out-of-sample forecast evaluation using several loss functions and equal-predictive-ability tests suggests that simplicity beats complexity. Parsimonious pooled logit models produce the most accurate sovereign default forecasts and outperform the naive benchmarks.
Keywords:Credit risk   Default probability   Emerging markets   Loss function   Panel logit   Predictive performance   Unobserved heterogeneity
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