Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58548
Title: Investigating Dynamic Correlation in the International Implied Volatility Indexes
Authors: Panida Fanpaeng
Woraphon Yamaka
Roengchai Tansuchat
Keywords: Computer Science
Mathematics
Issue Date: 1-Jan-2018
Abstract: © 2018, Springer International Publishing AG, part of Springer Nature. This paper investigates dynamic interaction among international volatility indexes, consisting of VIX, VSTOXX, VDAX, VFTSE, VNVIXN, VHSI and VKOSPI. This paper also extends the multivariate normal distribution and multivariate student-t distribution based dynamic conditional correlation (DCC) model to a multivariate skew distribution. We then apply this extended model to estimate the dynamic volatility and correlation in international volatility indexes. The empirical results of model comparison reveal the multivariate skewed student-t distribution based CGARCH-DCC model to perform the best in our real data analysis. This indicates that the time-varying conditional correlation coefficients as well as volatility are skewed and fat tailed or leptokurtic in characteristic.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043998564&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58548
ISSN: 16113349
03029743
Appears in Collections:CMUL: Journal Articles

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