Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high-frequency index returns

被引:292
|
作者
Blair, BJ
Poon, SH
Taylor, SJ [1 ]
机构
[1] Univ Lancaster, Dept Accounting & Finance, Lancaster LA1 4YX, England
[2] WestLB Asset Management, London EC3V 0AX, England
[3] Univ Strathclyde, Dept Accounting & Finance, Glasgow G4 0LN, Lanark, Scotland
关键词
ARCH models; forecasting; high-frequency returns; implied volatility; stock index volatility;
D O I
10.1016/S0304-4076(01)00068-9
中图分类号
F [经济];
学科分类号
02 ;
摘要
The information content of implied volatilities and intraday returns is compared, in the context of forecasting index volatility over horizons from 1 to 20 days. Forecasts of two measures of realised volatility are obtained after estimating ARCH models using daily index returns, daily observations of the VIX index of implied volatility and sums of squares of 5-min index returns. The in-sample estimates show that nearly all relevant information is provided by the VIX index and hence there is not much incremental information in high-frequency index returns. For out-of-sample forecasting, the VIX index provides the most accurate forecasts for all forecast horizons and performance measures considered. The evidence for incremental forecasting information in intraday returns is insignificant. (C) 2001 Elsevier Science S.A. All rights reserved.
引用
收藏
页码:5 / 26
页数:22
相关论文
共 44 条