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  • 标题:Modelling and Forecasting WIG20 Daily Returns
  • 本地全文:下载
  • 作者:Cristina Amado ; Annastiina Silvennoinen ; Timo Teräsvirta
  • 期刊名称:Central European Journal of Economic Modelling and Econometrics
  • 印刷版ISSN:2080-0886
  • 电子版ISSN:2080-119X
  • 出版年度:2017
  • 期号:3
  • 页码:173-200
  • 语种:English
  • 出版社:Polska Akademia Nauk
  • 摘要:The purpose of this paper is to model daily returns of the WIG20 index.The idea is to consider a model that explicitly takes changes in the amplitudeof the clusters of volatility into account. This variation is modelled by apositive-valued deterministic component. A novelty in specification of themodel is that the deterministic component is specified before estimating themultiplicative conditional variance component. The resulting model is subjectedto misspecification tests and its forecasting performance is compared with thatof commonly applied models of conditional heteroskedasticity.
  • 关键词:autoregressive conditional heteroskedasticity;forecasting volatility;modelling volatility;multiplicative time-varying GARCH;smooth transition
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