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  • 标题:Implied volatility indices as leading indicators of stock index returns?
  • 本地全文:下载
  • 作者:Pierre GIOT
  • 期刊名称:CORE Discussion Papers / Center for Operations Research and Econometrics (UCL), Louvain
  • 出版年度:2002
  • 卷号:2002
  • 出版社:Center for Operations Research and Econometrics (UCL), Louvain
  • 摘要:This paper shows that, when the VIX or VXN indices of implied volatility increase, the S&P100 and NASDAQ100 stock indices exhibit on average negative returns, hence the ‘fear factor’ associated with high levels of implied volatility in financial markets. However, attractive (from a mean-variance perspective) positive returns should then be expected on average in the immediate short-term. In this framework, very high levels of implied volatility can on a statistical basis be viewed as signalling an imminent increase in stock indices, at least on a short term basis. Our analysis also shows that average to moderately high levels of implied volatility lead to unfavorable (from a mean-variance perspective) returns. Thus traders willing to enter ‘oversold’ markets should wait until extremely high levels of implied volatility are witnessed, and their strategy should be strictly on a short-term basis.
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