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Half-day trading and spillovers

This paper investigates the linkage of returns and volatilities between the United States and Chinese stock markets from January 2010 to March 2020. We use the dynamic conditional correlation (DCC) and asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models to calculate the time-varying correlations...

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Detalles Bibliográficos
Autores principales: Chen, Yifan, Yu, Limin, Gang, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887722/
http://dx.doi.org/10.1186/s11782-021-00097-7
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author Chen, Yifan
Yu, Limin
Gang, Jianhua
author_facet Chen, Yifan
Yu, Limin
Gang, Jianhua
author_sort Chen, Yifan
collection PubMed
description This paper investigates the linkage of returns and volatilities between the United States and Chinese stock markets from January 2010 to March 2020. We use the dynamic conditional correlation (DCC) and asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models to calculate the time-varying correlations of these two markets and examine the return and volatility spillover effects between these two markets. The empirical results show that there are only unidirectional return spillovers from the U.S. stock market to the Chinese stock market. The U.S. stock market has a consistently positive spillover to China’s next day’s morning trading, but its impact on China’s next day’s afternoon trading appears to be insignificant. This finding implies that information in the U.S. stock market impacts the performance of the Chinese stock market differently in distinct semi-day trading. Moreover, with respect to the volatility, there are significant bidirectional spillover effects between these two markets.
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spelling pubmed-78877222021-02-17 Half-day trading and spillovers Chen, Yifan Yu, Limin Gang, Jianhua Front. Bus. Res. China Research This paper investigates the linkage of returns and volatilities between the United States and Chinese stock markets from January 2010 to March 2020. We use the dynamic conditional correlation (DCC) and asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models to calculate the time-varying correlations of these two markets and examine the return and volatility spillover effects between these two markets. The empirical results show that there are only unidirectional return spillovers from the U.S. stock market to the Chinese stock market. The U.S. stock market has a consistently positive spillover to China’s next day’s morning trading, but its impact on China’s next day’s afternoon trading appears to be insignificant. This finding implies that information in the U.S. stock market impacts the performance of the Chinese stock market differently in distinct semi-day trading. Moreover, with respect to the volatility, there are significant bidirectional spillover effects between these two markets. Springer Singapore 2021-02-17 2021 /pmc/articles/PMC7887722/ http://dx.doi.org/10.1186/s11782-021-00097-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research
Chen, Yifan
Yu, Limin
Gang, Jianhua
Half-day trading and spillovers
title Half-day trading and spillovers
title_full Half-day trading and spillovers
title_fullStr Half-day trading and spillovers
title_full_unstemmed Half-day trading and spillovers
title_short Half-day trading and spillovers
title_sort half-day trading and spillovers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887722/
http://dx.doi.org/10.1186/s11782-021-00097-7
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