Chang, Chia-LinAllen, David E.McAleer, MichaelPérez-Amaral, Teodosio2023-06-192023-06-192013-06Abad, P. and S. Benito, A detailed comparison of value at risk estimates, to appear in Mathematics and Computers in Simulation, 2014. Aielli, G.P. and M. Caporin, Fast clustering of GARCH processes via Gaussian mixture models, to appear in Mathematics and Computers in Simulation, 2014. Allen, D.E., R. Amram and M. McAleer, Volatility spillovers from the Chinese stock market to economic neighbours, to appear in Mathematics and Computers in Simulation, 2014. Allen, D.E., R.J. Powell and A.K. Singh, Extreme market risk and extreme value theory, to appear in Mathematics and Computers in Simulation, 2014. Araujo Santos, P. and M.I. Fraga Alves, Forecasting value-at-risk with a duration-based POT method, to appear in Mathematics and Computers in Simulation, 2014. Araujo Santos, P., J.-A. Jimenez-Martin, M. McAleer and T. Perez Amaral, GFC-robust risk management under the Basel Accord using extreme value methodologies, to appear in Mathematics and Computers in Simulation, 2014. Casarin, R., C.-L. Chang, J.-A. Jimenez-Martin, M. McAleer and T. Perez Amaral, Risk management of risk under the Basel Accord: A Bayesian approach to forecasting value-at-risk of VIX futures, to appear in Mathematics and Computers in Simulation, 2014. Chang, C.-L., Lydia González-Serrano and J.-A. Jimenez-Martin, Currency hedging strategies using dynamic multivariate GARCH, to appear in Mathematics and Computers in Simulation, 2014. Hammoudeh, S., R. Sari, T. Liu and M. Uzunkaya, The dynamics of BRICS's country risk ratings and domestic stock markets, U.S. stock market and oil price, to appear in Mathematics and Computers in Simulation, 2014.https://hdl.handle.net/20.500.14352/41490The authors are grateful to the numerous reviewers for their speed and efficiency, and to the Managing Editor and France Pinon for their assistance in preparing this volume. For financial support, the first author acknowledges the National Science Council, Taiwan, the second author thanks the Australian Research Council, and the third author is grateful to the Australian Research Council, the National Science Council, Taiwan, and the Japan Society for the Promotion of Science.The papers in this special issue of Mathematics and Computers in Simulation are substantially revised versions of the papers that were presented at the 2011 Madrid International Conference on “Risk Modelling and Management” (RMM2011). The papers cover the following topics: currency hedging strategies using dynamic multivariate GARCH, risk management of risk under the Basel Accord: A Bayesian approach to forecasting value-at-risk of VIX futures, fast clustering of GARCH processes via Gaussian mixture models, GFC-robust risk management under the Basel Accord using extreme value methodologies, volatility spillovers from the Chinese stock market to economic neighbours, a detailed comparison of Value-at-Risk estimates, the dynamics of BRICS's country risk ratings and domestic stock markets, U.S. stock market and oil price, forecasting value-at-risk with a duration-based POT method, and extreme market risk and extreme value theory.engAtribución-NoComercial 3.0 Españatechnical reporthttps://www.ucm.es/icaeopen accessC14C32C53C58G11G32Currency hedging strategiesBasel AccordRisk managementForecastingVIX futuresFast clusteringMixture modelsextreme value methodologiesVolatility spilloversValue-at-RiskCountry risk ratingsBRICSExtreme market risk.Econometría (Economía)5302 Econometría