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A simple expected volatility (SEV) index: Application to SET50 index options
Authors:Michael McAleer  Chatayan Wiphatthanananthakul
Affiliation:1. Econometric Institute, Erasmus School of Economics, Eramus University Rotterdam and Tingbergen Institute, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands;2. Faculty of Economics, Chiang Mai University, 239 Huay Kaew Road, Suthep District, Chiang Mai 50202, Thailand;3. Chulachomklao Royal Military Academy, Law and Social Sciences Department, Prommanee, Muang, Nakorn-Nayok 26001, Thailand
Abstract:In 2003, the Chicago Board Options Exchange (CBOE) made two key enhancements to the volatility index (VIX) methodology based on S&P options. The new VIX methodology seems to be based on a complicated formula to calculate expected volatility. In this paper, with the use of Thailand's SET50 Index Options data, we modify the VIX formula to a very simple relationship, which has a higher negative correlation between the VIX for Thailand (TVIX) and SET50 index options. We show that TVIX provides more accurate forecasts of option prices than the simple expected volatility (SEV) index, but the SEV index outperforms TVIX in forecasting expected volatility. Therefore, the SEV index would seem to be a superior tool as a hedging diversification tool because of the high negative correlation with the volatility index.
Keywords:Volatility index   Model selection   Black&ndash  Scholes formula   Price forecasting   Time series
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