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  • 标题:Interconnectedness in Credit Market: An Empirical Investigation Using UK and US CDS Data
  • 本地全文:下载
  • 作者:Ramaprasad Bhar
  • 期刊名称:Journal of Data Science
  • 印刷版ISSN:1680-743X
  • 电子版ISSN:1683-8602
  • 出版年度:2016
  • 卷号:14
  • 期号:3
  • 页码:479-490
  • 出版社:Tingmao Publish Company
  • 摘要:This paper uses a structural time series methodology to test the notion of interconnectedness between the UK and the US credit markets. The empirical tests utilise data on premium for the Banking sector credit default swaps (CDS) and covers the recent period of financial turmoil. The methodology based on Kalman filter is robust in the presence of limited convergence. The long-term steady state convergence in CDS premium is clearly noticeable between these two markets from the results. This observation lends support for the coordinated regulatory policy initiatives to deal with the crisis and offer suggestions for sound operations of the international financial systems.
  • 关键词:Banking Sector; CDS; Convergence; Kalman filter
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