Returns and volatility spillover between Asian equity markets: A wavelet approach

We analyse return and volatility spillover across select Asian equity markets using wavelet multiple correlation and cross-correlation. For the purpose of analysis, daily return data is taken from equity markets, viz. Bombay Stock Exchange SENSEX, Tokyo Stock Exchange NIKKEI 225, Hong Kong...

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Main Authors: Kumar Anoop S., Kamaiah B.
Format: Article
Language:English
Published: Faculty of Economics, Belgrade 2017-01-01
Series:Ekonomski Anali
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0013-3264/2017/0013-32641712063K.pdf
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spelling doaj-daf37c4014fd4d6282618506d693a5182020-11-24T23:08:54ZengFaculty of Economics, BelgradeEkonomski Anali0013-32641820-73752017-01-0162212638310.2298/EKA1712063K0013-32641712063KReturns and volatility spillover between Asian equity markets: A wavelet approachKumar Anoop S.0Kamaiah B.1BITS Pilani KK Birla Goa Campus, IndiaUniversity of Hyderabad, School of Economics, IndiaWe analyse return and volatility spillover across select Asian equity markets using wavelet multiple correlation and cross-correlation. For the purpose of analysis, daily return data is taken from equity markets, viz. Bombay Stock Exchange SENSEX, Tokyo Stock Exchange NIKKEI 225, Hong Kong Shanghai Index (HSI), Amman Equity Index, Korea Composite Stock Price Index (KOSPI), and Singapore Strait Time Index (STI), from 03/01/2000 to 31/12/2013. The results show that the Asian markets are co-integrated in the long run. Further, it is found that a significant part of each market’s volatility pattern at intraweek scale can be largely explained by own shocks, but in the long run the volatility dynamics of the market changes as the extent of the spillover increases. From the wavelet multiple cross-correlation values, two developed markets, the STI and the HSI, are identified as potential leaders or followers among the group. From the analysis it is found that the volatility spillover across the studied markets is relatively low at the high frequency, implying that there is possibility of diversification at a daily to intraweek scale. The discrepancies between the markets vanish in the long run; hence a long-term diversification strategy is best avoided.http://www.doiserbia.nb.rs/img/doi/0013-3264/2017/0013-32641712063K.pdfAsiadiversificationwaveletsvolatilityspilloverstock marketsrisk
collection DOAJ
language English
format Article
sources DOAJ
author Kumar Anoop S.
Kamaiah B.
spellingShingle Kumar Anoop S.
Kamaiah B.
Returns and volatility spillover between Asian equity markets: A wavelet approach
Ekonomski Anali
Asia
diversification
wavelets
volatility
spillover
stock markets
risk
author_facet Kumar Anoop S.
Kamaiah B.
author_sort Kumar Anoop S.
title Returns and volatility spillover between Asian equity markets: A wavelet approach
title_short Returns and volatility spillover between Asian equity markets: A wavelet approach
title_full Returns and volatility spillover between Asian equity markets: A wavelet approach
title_fullStr Returns and volatility spillover between Asian equity markets: A wavelet approach
title_full_unstemmed Returns and volatility spillover between Asian equity markets: A wavelet approach
title_sort returns and volatility spillover between asian equity markets: a wavelet approach
publisher Faculty of Economics, Belgrade
series Ekonomski Anali
issn 0013-3264
1820-7375
publishDate 2017-01-01
description We analyse return and volatility spillover across select Asian equity markets using wavelet multiple correlation and cross-correlation. For the purpose of analysis, daily return data is taken from equity markets, viz. Bombay Stock Exchange SENSEX, Tokyo Stock Exchange NIKKEI 225, Hong Kong Shanghai Index (HSI), Amman Equity Index, Korea Composite Stock Price Index (KOSPI), and Singapore Strait Time Index (STI), from 03/01/2000 to 31/12/2013. The results show that the Asian markets are co-integrated in the long run. Further, it is found that a significant part of each market’s volatility pattern at intraweek scale can be largely explained by own shocks, but in the long run the volatility dynamics of the market changes as the extent of the spillover increases. From the wavelet multiple cross-correlation values, two developed markets, the STI and the HSI, are identified as potential leaders or followers among the group. From the analysis it is found that the volatility spillover across the studied markets is relatively low at the high frequency, implying that there is possibility of diversification at a daily to intraweek scale. The discrepancies between the markets vanish in the long run; hence a long-term diversification strategy is best avoided.
topic Asia
diversification
wavelets
volatility
spillover
stock markets
risk
url http://www.doiserbia.nb.rs/img/doi/0013-3264/2017/0013-32641712063K.pdf
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