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Applications of State Space Models in Finance

dc.contributor.authorMergner, Sascha
dc.date.accessioned2009-04-22T18:16:40Z
dc.date.available2014-04-22T18:16:40Z
dc.date.issued2009
dc.identifier.urihttps://doi.org/10.17875/gup2009-216
dc.descriptionSoftcover, 202 S.: 24,00 €
dc.format.extent202
dc.format.mediumPrint
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nd/2.0/de
dc.subject.ddc330
dc.titleApplications of State Space Models in Finance
dc.title.alternativeAn Empirical Analysis of the Time-varying Relationship between Macroeconomics, Fundamentals and Pan-European Industry Portfolios
dc.typemonograph
dc.price.print24,00
dc.identifier.urnurn:nbn:de:gbv:7-isbn-978-3-941875-22-7-0
dc.identifier.ppn617053014
dc.relation.ppn617049521
dc.description.printSoftcover, 17x24
dc.subject.divisionpeerReviewed
dc.relation.isbn-13978-3-941875-22-7
dc.identifier.articlenumber8100797
dc.identifier.internisbn-978-3-941875-22-7
dc.subject.bisacBUS000000
dc.notes.oaiprint
dc.subject.vlb780
dc.subject.bicK
dc.description.abstractengState space models play a key role in the estimation of time-varying sensitivities in financial markets. The objective of this book is to analyze the relative merits of modern time series techniques, such as Markov regime switching and the Kalman filter, to model structural changes in the context of widely used concepts in finance. The presented material will be useful for financial economists and practitioners who are interested in taking time-variation in the relationship between financial assets and key economic factors explicitly into account. The empirical part illustrates the application of the various methods under consideration. As a distinctive feature, it includes a comprehensive analysis of the ability of time-varying coefficient models to estimate and predict the conditional nature of systematic risks for European industry portfolios.
dc.notes.vlb-printlieferbar
dc.intern.doi10.17875/gup2023-216
dc.identifier.purlhttp://resolver.sub.uni-goettingen.de/purl?isbn-978-3-941875-22-7
dc.identifier.asin3941875221
dc.subject.themaK


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