A simple expected volatility (SEV) index: Application to SET50 index options

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 I...

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Main Authors: Michael McAleer, Chatayan Wiphatthanananthakul
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/50727
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spelling th-cmuir.6653943832-507272018-09-04T04:49:35Z A simple expected volatility (SEV) index: Application to SET50 index options Michael McAleer Chatayan Wiphatthanananthakul Computer Science Mathematics 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. Crown Copyright © 2010. 2018-09-04T04:44:47Z 2018-09-04T04:44:47Z 2010-06-01 Journal 03784754 2-s2.0-77953324993 10.1016/j.matcom.2010.04.001 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77953324993&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50727
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Mathematics
spellingShingle Computer Science
Mathematics
Michael McAleer
Chatayan Wiphatthanananthakul
A simple expected volatility (SEV) index: Application to SET50 index options
description 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. Crown Copyright © 2010.
format Journal
author Michael McAleer
Chatayan Wiphatthanananthakul
author_facet Michael McAleer
Chatayan Wiphatthanananthakul
author_sort Michael McAleer
title A simple expected volatility (SEV) index: Application to SET50 index options
title_short A simple expected volatility (SEV) index: Application to SET50 index options
title_full A simple expected volatility (SEV) index: Application to SET50 index options
title_fullStr A simple expected volatility (SEV) index: Application to SET50 index options
title_full_unstemmed A simple expected volatility (SEV) index: Application to SET50 index options
title_sort simple expected volatility (sev) index: application to set50 index options
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77953324993&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50727
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