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Parameterizing unconditional skewness in models for financial time series
Dalarna University, School of Technology and Business Studies, Statistics.
2008 (English)In: Journal of Financial Econometrics, ISSN 1479-8409, E-ISSN 1479-8417, Vol. 6, no 2, p. 208-230Article in journal (Other academic) Published
Abstract [en]

In this paper we consider the third-moment structure of a class of time series models. It is often argued that the marginal distribution of financial time series such as returns is skewed. Therefore it is of importance to know what properties a model should possess if it is to accommodate unconditional skewness. We consider modeling the unconditional mean and variance using models that respond nonlinearly or asymmetrically to shocks. We investigate the implications of these models on the third-moment structure of the marginal distribution as well as conditions under which the unconditional distribution

Place, publisher, year, edition, pages
2008. Vol. 6, no 2, p. 208-230
Identifiers
URN: urn:nbn:se:du-3675OAI: oai:dalea.du.se:3675DiVA, id: diva2:520002
Available from: 2009-02-01 Created: 2009-02-01 Last updated: 2017-12-07Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
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Language
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  • nn-NO
  • nn-NB
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Output format
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