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  • 标题:VALUE-AT-RISK ANALYSIS OF KOSPI 200 SECTOR INDICES
  • 本地全文:下载
  • 作者:Kang, Sang Hoon ; Cho, Hwan-Gue ; Ryu, Suyeol
  • 期刊名称:Theoretical and Applied Economics
  • 印刷版ISSN:1841-8678
  • 电子版ISSN:1844-0029
  • 出版年度:2009
  • 卷号:12(541)(supplement)
  • 期号:12(541)(supplement)
  • 页码:771-777
  • 出版社:Asociatia Generala a Economistilor din Romania - AGER
  • 摘要:We investigated the performance of value-at-risk (VaR) models of KOSPI 200 sector indices using FIGARCH and FIAPARCH models under normal and skewed Student-t innovation distributions. The FIAPARCH model well captured the long-memory and asymmetry properties of the volatility. In addition, the skewed Student-t models outperformed the normal models in measuring the fat tails and asymmetry of the densities.
  • 关键词:asymmetry; forecasting accuracy; long memory; skewed student-t distribution.
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