Modelling Different Volatility Components in High-Frequency Financial Returns

dc.contributor.authorFeng, Yuanhua
dc.date.accessioned2011-03-25T09:42:33Zdeu
dc.date.available2011-03-25T09:42:33Zdeu
dc.date.issued2002deu
dc.description.abstractThis paper considers simultaneous modelling of seasonality, slowly changing un- conditional variance and conditional heteroskedasticity in high-frequency financial returns. A new approach, called a seasonal SEMIGARCH model, is proposed to perform this by introducing multiplicative seasonal and trend components into the GARCH model. A data-driven semiparametric algorithm is developed for estimat- ing the model. Asymptotic properties of the proposed estimators are investigated brie y. An approximate significance test of seasonality and the use of Monte Carlo confidence bounds for the trend are proposed. Practical performance of the pro- posal is investigated in detail using some German stock price returns. The approach proposed here provides a useful semiparametric extension of the GARCH model.eng
dc.description.versionpublished
dc.format.mimetypeapplication/pdfdeu
dc.identifier.ppn103216944deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/12080
dc.language.isoengdeu
dc.legacy.dateIssued2003deu
dc.relation.ispartofseriesCoFE-Diskussionspapiere / Zentrum für Finanzen und Ökonometrie
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subjectHigh-frequency financial datadeu
dc.subjectnonparametric regressiondeu
dc.subjectseasonality in volatilitydeu
dc.subjectsemiparametric GARCH modeldeu
dc.subjecttrend in volatilitydeu
dc.subject.ddc330deu
dc.titleModelling Different Volatility Components in High-Frequency Financial Returnseng
dc.typeWORKINGPAPERdeu
dspace.entity.typePublication
kops.bibliographicInfo.seriesNumber2002/18deu
kops.citation.bibtex
@techreport{Feng2002Model-12080,
  year={2002},
  series={CoFE-Diskussionspapiere / Zentrum für Finanzen und Ökonometrie},
  title={Modelling Different Volatility Components in High-Frequency Financial Returns},
  number={2002/18},
  author={Feng, Yuanhua}
}
kops.citation.iso690FENG, Yuanhua, 2002. Modelling Different Volatility Components in High-Frequency Financial Returnsdeu
kops.citation.iso690FENG, Yuanhua, 2002. Modelling Different Volatility Components in High-Frequency Financial Returnseng
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