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A Scientific Classification of Volatility Models

dc.contributor.authorCaporin, Massimiliano
dc.contributor.authorMcAleer, Michael
dc.date.accessioned2023-06-20T09:17:37Z
dc.date.available2023-06-20T09:17:37Z
dc.date.issued2009-02
dc.descriptionMassimiliano Caporin pertenece a la Università degli Studi di Padova, Dipartimento di Scienze Economiche “Marco Fanno”.
dc.description.abstractModeling volatility, or “predictable changes” over time and space in a variable, is crucial in the natural and social sciences. Life can be volatile, and anything that matters, and which changes over time and space, involves volatility. Without volatility, many temporal and spatial variables would simply be constants. Our purpose is to propose a scientific classification of the alternative volatility models and approaches that are available in the literature, following the Linnaean taxonomy. This scientific classification is used because the literature has evolved as a living organism, with the birth of numerous new species of models.
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.facultyInstituto Complutense de Análisis Económico (ICAE)
dc.description.refereedTRUE
dc.description.sponsorshipItalian MUS Grant
dc.description.sponsorshipAustralian Research Council
dc.description.statusunpub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/8591
dc.identifier.relatedurlhttps://www.ucm.es/icae
dc.identifier.urihttps://hdl.handle.net/20.500.14352/49251
dc.issue.number05
dc.language.isoeng
dc.page.total8
dc.publication.placeMadrid
dc.publisherInstituto Complutense de Análisis Económico. Universidad Complutense de Madrid
dc.relation.ispartofseriesDocumentos de trabajo del Instituto Complutense de Análisis Económico (ICAE)
dc.relation.projectIDCofin2006-13-1140
dc.rights.accessRightsopen access
dc.subject.ucmEstadística matemática (Estadística)
dc.subject.unesco1209 Estadística
dc.titleA Scientific Classification of Volatility Models
dc.typetechnical report
dc.volume.number2009
dcterms.referencesAsai, M., M. McAleer and J. Yu (2006), Multivariate Stochastic Volatility: A Review, Econometric Reviews, 25, 145-175. Bollerslev, T. (1986), Generalised Autoregressive Conditional Heteroscedasticity, Journal of Econometrics, 31, 307-327. Caporin, M. and M. McAleer (2008), Scalar BEKK and Indirect DCC, Journal of Forecasting, 27, 537-549. Engle, R.F. (1982), Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation, Econometrica, 50, 987-1007. Engle, R.F. (2002), Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models, Journal of Business and Economic Statistics, 20, 339-350. Engle, R.F. and K.F. Kroner (1995), Multivariate Simultaneous Generalized ARCH, Econometric Theory, 11, 122-150. Ling, S. and M. McAleer (2003), Asymptotic Theory for a Vector ARMA-GARCH Model, Econometric Theory, 19, 278-308. McAleer. M. and M.C. Medeiros (2008), Realized Volatility: A Review, Econometric Reviews, 27, 10-45.
dspace.entity.typePublication

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