Modelling the risk-return relation for the S&P 100: The role of VIX

被引:17
|
作者
Kanas, Angelos [1 ]
机构
[1] Univ Piraeus, Dept Econ, Piraeus, Greece
关键词
S&P 100; VIX; GARCH-M; Risk-return relation; Monte Carlo; STOCK-MARKET VOLATILITY; INFORMATION-CONTENT; IMPLIED VOLATILITY; VARIANCE; TRADEOFF; PRICE;
D O I
10.1016/j.econmod.2011.10.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
A significantly positive risk-return relation for the S&P 100 market index is detected if the implied volatility index (VIX) is allowed for as an exogenous variable in the conditional variance equation. This result holds for 4 alternative GARCH specifications, irrespective of the conditional distribution, and regardless of whether the conditional mean equation includes a constant term. This finding is robust to sub-samples, and to using VIX innovations to control for dividend yield and trading volume effects. Monte Carlo evidence suggests that if VIX is not included, the risk-return relation is more likely to be negative or weak, in line with several previous studies. If VIX is included, the distribution of the risk-return parameter has more than 99% of its mass in the area of positive values. We conclude that VIX carries important forward-looking information which improves the precision of the conditional variance estimation and, subsequently, reveals a significantly positive relation. (C) 2011 Published by Elsevier B.V.
引用
收藏
页码:795 / 809
页数:15
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