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  • 标题:Testing the predict power of VIX: an application of multiplicative error model
  • 本地全文:下载
  • 作者:Luis Fernando Pereira Azevedo ; Pedro L. Valls Pereira
  • 期刊名称:Brazilian Review of Finance
  • 印刷版ISSN:1984-5146
  • 出版年度:2016
  • 卷号:13
  • 期号:4
  • 页码:571-630
  • 语种:Portuguese
  • 出版社:Link to the Brazilian Society of Finance
  • 摘要:VIX - Volatility Index - emerged as an alternative calculation of implied volatility in order to mitigate some problems encountered in models of the Black-Scholes. This kind of volatility is seen as the best predictor of future volatility, given that option traders' expectations are embedded in their values. In this paper we test whether the VIX has more predictive power for future volatility and contains relevant information not found in time series models time for non-negative variables, treated by multiplicative error model. The results indicate that the VIX has greater predictive power in periods of economic stability, but does not contain relevant information to the realized volatility which here is considered as the "true volatility". In periods of economic crisis the result changes, with the VIX presenting the same explanatory power, but contains relevant information in the short term.
  • 关键词:VIX;GARCH models;multiplicative error model;GMM;VIX, modelos GARCH, modelo de erro multiplicativo, GMM.
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