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文章基本信息

  • 标题:Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion
  • 本地全文:下载
  • 作者:Calin, Adrian Cantemir ; Diaconescu, Tiberiu ; Popovici, Oana
  • 期刊名称:Computational Methods in Social Sciences (CMSS)
  • 印刷版ISSN:2344-1232
  • 出版年度:2014
  • 卷号:2
  • 期号:1
  • 页码:42-47
  • 出版社:"Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences
  • 摘要:This article follows the main contributions brought to the nonlinear modeling literature. We investigate and review a series of parametric initiatives, focusing on the evolution of TAR and ARCH – GARCH model families in econometric and forecasting applications.
  • 关键词:nonlinear parametric models; threshold models; ARCH - GARCH models
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