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  • 标题:Bayesian Testing for Asset Volatility Persistence on Multivariate Stochastic Volatility Models
  • 本地全文:下载
  • 作者:Yong Li ; Fang-Ping Peng ; Hao-Feng Xu
  • 期刊名称:Journal of Mathematical Finance
  • 印刷版ISSN:2162-2434
  • 电子版ISSN:2162-2442
  • 出版年度:2012
  • 卷号:2
  • 期号:1
  • 页码:83-89
  • DOI:10.4236/jmf.2012.21010
  • 出版社:Scientific Research Publishing
  • 摘要:In empirical finance, it is well-known that the volatility of asset returns is highly persistent. The persistence of the volatility process may be checked by testing for a unit root on stochastic volatility models. In this paper, a Bayesian test statistic based on decision theory is developed for testing a unit root on multivariate stochastic volatility models. At last, the developed approach is applied to investigate the persistent effect of financial crisis on the two main stock markets in China.
  • 关键词:Asset Volatility Persistency; Bayes Factor; Decision Theory; Markov Chain Monte Carlo; Unit Root Testing; Multivariate Stochastic Volatility Models
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