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Risk Modelling and Management: An Overview

dc.contributor.authorChang, Chia-Lin
dc.contributor.authorAllen, David E.
dc.contributor.authorMcAleer, Michael
dc.contributor.authorPérez Amaral, Teodosio
dc.date.accessioned2023-06-19T23:53:11Z
dc.date.available2023-06-19T23:53:11Z
dc.date.issued2013
dc.descriptionThe 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.
dc.description.abstractThe 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.
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.facultyInstituto Complutense de Análisis Económico (ICAE)
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/22111
dc.identifier.relatedurlhttps://www.ucm.es/icae
dc.identifier.urihttps://hdl.handle.net/20.500.14352/41490
dc.issue.number22
dc.language.isoeng
dc.page.total10
dc.relation.ispartofseriesDocumentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE)
dc.rightsAtribución-NoComercial 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/es/
dc.subject.jelC14
dc.subject.jelC32
dc.subject.jelC53
dc.subject.jelC58
dc.subject.jelG11
dc.subject.jelG32
dc.subject.keywordCurrency hedging strategies
dc.subject.keywordBasel Accord
dc.subject.keywordRisk management
dc.subject.keywordForecasting
dc.subject.keywordVIX futures
dc.subject.keywordFast clustering
dc.subject.keywordMixture models
dc.subject.keywordextreme value methodologies
dc.subject.keywordVolatility spillovers
dc.subject.keywordValue-at-Risk
dc.subject.keywordCountry risk ratings
dc.subject.keywordBRICS
dc.subject.keywordExtreme market risk.
dc.subject.ucmEconometría (Economía)
dc.subject.unesco5302 Econometría
dc.titleRisk Modelling and Management: An Overview
dc.typetechnical report
dc.volume.number2013
dcterms.referencesAbad, 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.
dspace.entity.typePublication
relation.isAuthorOfPublication14ac85fa-418f-40ee-b712-4075cd494574
relation.isAuthorOfPublication.latestForDiscovery14ac85fa-418f-40ee-b712-4075cd494574

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