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  • 标题:A Markov regime switching approach to estimating the volatility of Johannesburg Stock Exchange(JSE)returns
  • 本地全文:下载
  • 作者:Emmanuel K.Oseifuah ; Carl H.Korkpoe
  • 期刊名称:Investment Management & Financial Innovations
  • 印刷版ISSN:1810-4967
  • 电子版ISSN:1812-9358
  • 出版年度:2019
  • 卷号:16
  • 期号:1
  • 页码:215-225
  • DOI:10.21511/imfi.16(1).2019.17
  • 语种:English
  • 出版社:LLC “Consulting Publishing Company “Business Perspectives”
  • 摘要:The study used the Markov regime switching model to investigate the presence of regimes in the volatility dynamics of the returns of JSE All-Share Index(ALSI).Volatility regimes are as a result of sudden changes in the underlying economy generating the market returns.In all,twelve candidate models were fitted to the data.Estimates from the regime switching model were compared to the industry standard non-switching GARCH(1,1)using the Deviance Information Criteria(DIC).The results show that the two-regime switching EGARCH model with skewed Student t innovations de?scribes better the return of the JSE Index.Additionally,we backtest the model results in order to confirm our findings that the two-regime switching EGARCH is the best of the models for the sample period.
  • 关键词:Bayesian methodology;equity markets;Johannesburg Stock Exchange;Markov chain Monte Carlo simulation;Markov regime switching
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