EconStor >
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) >
IWF - Institut für Wirtschaftsforschung, Friedrich-Alexander-Universität Erlangen-Nürnberg >
FAU Discussion Papers in Economics, Friedrich-Alexander-Universität Erlangen-Nürnberg >

Please use this identifier to cite or link to this item:
Title:Dynamic copula-based Markov chains at work: Theory, testing and performance in modeling daily stock returns PDF Logo
Authors:Tinkl, Fabian
Reichert, Katja
Issue Date:2011
Series/Report no.:IWQW discussion paper series 09/2011
Abstract:We generalize the score test for time-varying copula parameters proposed by [Abegaz & Naik-Nimbalkar, 2008] to a setting where more than one-parametric copulas can be tested for time variation in at least one parameter. In a next step we model the daily log returns of the Commerzbank stock using copula-based Markov chain models. We found evidence that compared to usual GARCH models the copula-based Markov chain models perform worse when daily stock returns are estimated. Thus we do not see any advantage of this model type when daily returns from financial data are modeled.
Subjects:Dynamic copula models
Markov chains
score test
GARCH models
Document Type:Working Paper
Appears in Collections:FAU Discussion Papers in Economics, Friedrich-Alexander-Universität Erlangen-Nürnberg

Files in This Item:
File Description SizeFormat
664986498.pdf513.81 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.