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Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings

Author

Listed:
  • Suhejla Hoti

    (Department of Economics, University of Western Australia)

  • Felix Chan

    (Department of Economics, University of Western Australia)

  • Michael McAleer

    (Department of Economics, University of Western Australia)

Abstract

Following the rapid growth in the international debt of less developed countries in the 1970s and the increasing incidence of debt rescheduling in the early 1980s, country risk has become a topic of major concern for the international financial community. A critical assessment of country risk is essential because it reflects the ability and willingness of a country to service its financial obligations. Various risk rating agencies employ different methods to determine country risk ratings, combining a range of qualitative and quantitative information regarding alternative measures of economic, financial and political risk into associated composite risk ratings. This paper provides an international comparison of country risk ratings compiled by the International Country Risk Guide (ICRG), which is the only international rating agency to provide detailed and consistent monthly data over an extended period for a large number of countries. As risk ratings can be treated as indexes, their rate of change, or returns, merits attention in the same manner as financial returns. For this reason, a constant correlation multivariate asymmetric ARMA-GARCH model is presented and its underlying structure is established, including the unique, strictly stationary and ergodic solution of the model, its causal expansion, and convenient sufficient conditions for the existence of moments. Alternative empirically verifiable sufficient conditions for the consistency and asymptotic normality of the quasi-maximum likelihood estimator are established under non-normality of the conditional (or standardized) shocks. The empirical results provide a comparative assessment of the conditional means and volatilities associated with international country risk returns across countries and over time, enable a validation of the regularity conditions underlying the models, highlight the importance of economic, financial and political risk ratings as components of a composite risk rating, evaluate the multivariate effects of alternative risk returns and different countries, and evaluate the usefulness of the ICRG risk ratings in modelling risk returns.

Suggested Citation

  • Suhejla Hoti & Felix Chan & Michael McAleer, 2003. "Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings," CIRJE F-Series CIRJE-F-203, CIRJE, Faculty of Economics, University of Tokyo.
  • Handle: RePEc:tky:fseres:2003cf203
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    References listed on IDEAS

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    Cited by:

    1. Mazzotta, Stefano, 2008. "How important is asymmetric covariance for the risk premium of international assets?," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1636-1647, August.
    2. Lanza, Alessandro & Manera, Matteo & McAleer, Michael, 2006. "Modeling dynamic conditional correlations in WTI oil forward and futures returns," Finance Research Letters, Elsevier, vol. 3(2), pages 114-132, June.
    3. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    4. Suhejla Hoti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2009. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 522-554.
    5. Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.
    6. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    7. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 155-171.
    8. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.

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