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  • 标题:Modeling dependence structure between stock market volatility and sukuk yields: A nonlinear study in the case of Saudi Arabia
  • 本地全文:下载
  • 作者:Nader Naifar
  • 期刊名称:Borsa Istanbul Review
  • 印刷版ISSN:2214-8450
  • 出版年度:2016
  • 卷号:16
  • 期号:3
  • 页码:157-166
  • DOI:10.1016/j.bir.2016.01.005
  • 出版社:Elsevier B.V.
  • 摘要:Abstract The aim of this paper is to investigate the dependence structure between sukuk (Islamic bonds) yields and stock market (returns and volatility) in the case of Saudi Arabia. We consider three Archimedean copula models with different tail dependence structures namely Gumbel, Clayton, and Frank. This study shows that the sukuk yields exhibit significant dependence only with stock market volatility. In addition, the dependence structure between sukuk yields and stock market volatility are symmetric and linked with the same intensity.
  • 关键词:sukuk; Conditional volatility; GARCH; Dependence; Copula
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