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: McAleer M., Wiphatthanananthakul C.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-77953324993&partnerID=40&md5=d2c7f5268e44798596cddb9c5f09a422
http://cmuir.cmu.ac.th/handle/6653943832/1218
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-12182014-08-29T09:20:21Z A simple expected volatility (SEV) index: Application to SET50 index options McAleer M. Wiphatthanananthakul C. 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. 2014-08-29T09:20:21Z 2014-08-29T09:20:21Z 2010 Article 3784754 10.1016/j.matcom.2010.04.001 MCSID http://www.scopus.com/inward/record.url?eid=2-s2.0-77953324993&partnerID=40&md5=d2c7f5268e44798596cddb9c5f09a422 http://cmuir.cmu.ac.th/handle/6653943832/1218 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
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 Article
author McAleer M.
Wiphatthanananthakul C.
spellingShingle McAleer M.
Wiphatthanananthakul C.
A simple expected volatility (SEV) index: Application to SET50 index options
author_facet McAleer M.
Wiphatthanananthakul C.
author_sort McAleer M.
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 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-77953324993&partnerID=40&md5=d2c7f5268e44798596cddb9c5f09a422
http://cmuir.cmu.ac.th/handle/6653943832/1218
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