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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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 |
work_keys_str_mv |
AT kumaranoops returnsandvolatilityspilloverbetweenasianequitymarketsawaveletapproach AT kamaiahb returnsandvolatilityspilloverbetweenasianequitymarketsawaveletapproach |
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1725612451170353152 |