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Comparative analysis of risk ratings for the East European region. (English) Zbl 1114.91324
Summary: Following the aftermath of the 11 September 2001 events, the risks associated with engaging in international dealings have increased substantially, and become more difficult to analyse and predict for decision makers in the economic, financial and political sectors. The importance of country risk analysis is underscored by the existence of several prominent country risk rating agencies, which combine a wide range of qualitative and quantitative information regarding alternative measures of economic, financial and political risk into associated composite risk ratings. However, the accuracy of any rating agency with regard to any or all of these measures is open to question. For this reason, the paper provides a qualitative comparison of country risk rating systems used by seven leading rating agencies. The paper also provides a novel analysis of four risk ratings using univariate and multivariate volatility models for nine East European countries. These ratings are compiled by the International Country Risk Guide, which is the only risk rating agency to provide consistent monthly data for a large number of countries since 1984. The empirical results enable a comparative assessment of the conditional means and volatilities associated with county risk returns, defined as the rate of change in country risk ratings, across the nine East European countries. Moreover, the estimated constant conditional correlation coefficients provide useful information as to whether the countries are similar in terms of shocks to the four risk returns.
MSC:
91B30Risk theory, insurance
62P05Applications of statistics to actuarial sciences and financial mathematics
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[1] Berndt, E. K.; Hall, B. H.; Hall, R. E.; Hausman, J. A.: Estimation and inference in nonlinear structural models. Ann. econ. Social meas. 3, 653-665 (1974)
[2] A.V. Bhatia, Sovereign credit ratings methodology: an evaluation, International Monetary Fund Working Paper, 02/170, 2002.
[3] Bollerslev, T.: Modelling the coherence in short-run nominal exchange rates: a multivariate generalized ARCH approach. Rev. econ. Stat. 72, 498-505 (1990)
[4] Burton, F. N.; Inoue, H.: An appraisal of the early-warning indicators of sovereign loan default in country risk evaluation systems. Manage. int. Rev. 25, No. 1, 45-56 (1985)
[5] Boussama, F.: Asymptotic normality for the quasi-maximum likelihood estimator of a GARCH model. Comptes rendus de l’academie des sciences 331, No. Serie I, 81-84 (2000) · Zbl 0952.62022
[6] Hayes, N. L.: Country risk revisited. J. lending credit risk manage. 80, No. 5, 61 (1998)
[7] Hoti, S.: Snapshot images of country risk ratings: an international comparison. Proceedings of the international conference on environmental modelling and software, vol. 2 2, 532-537 (2002)
[8] Hoti, S.; Mcaleer, M.: An empirical assessment of country risk ratings and associated models. J. econ. Surveys 18, No. 4, 539-588 (2004)
[9] Howell, L. D.: The handbook of country and political risk analysis. (2001)
[10] Jeantheau, T.: Strong consistency of estimators for multivariate ARCH models. Econ. theory 14, 70-86 (1998)
[11] Ling, S.; Li, W. K.: On fractionally integrated autoregressive moving-average models with conditional heteroskedasticity. J. am. Stat. assoc. 92, 1184-1194 (1997) · Zbl 1067.62572
[12] Ling, S.; Mcaleer, M.: Stationarity and the existence of moments of a family of GARCH processes. J. econ. 106, 109-117 (2002) · Zbl 1043.62073
[13] Ling, S.; Mcaleer, M.: Necessary and sufficient moment conditions for the $GARCH(r,s)$ and asymmetric power $GARCH(r,s)$ models. Econ. theory 18, 722-729 (2002) · Zbl 1110.62332
[14] Ling, S.; Mcaleer, M.: Asymptotic theory for a vector ARMA-GARCH model. Econ. theory 19, 278-308 (2003)
[15] Nelson, D. B.: Stationarity and persistence in the $GARCH(1,1)$ model. Econ. theory 6, 318-334 (1990)