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COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis
COVID-19 has influenced financial markets drastically; however, this influence has received little attention, particularly in China. This study investigates risk spillovers across China's financial and shipping markets through dynamic spillover measures based on time-varying parameter vector au...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744386/ https://www.ncbi.nlm.nih.gov/pubmed/36531157 http://dx.doi.org/10.1016/j.frl.2022.103545 |
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author | Xie, Qiwei Cheng, Lu Liu, Ranran Zheng, Xiaolong Li, Jingyu |
author_facet | Xie, Qiwei Cheng, Lu Liu, Ranran Zheng, Xiaolong Li, Jingyu |
author_sort | Xie, Qiwei |
collection | PubMed |
description | COVID-19 has influenced financial markets drastically; however, this influence has received little attention, particularly in China. This study investigates risk spillovers across China's financial and shipping markets through dynamic spillover measures based on time-varying parameter vector autoregression and generalized forecast error variance decompositions. Stock, fund, and futures markets are identified as major risk senders, whereas other markets are identified as major risk receivers. Surprisingly, bonds, gold, and shipping are safe havens that facilitate portfolio optimization. Furthermore, using wavelet coherence analysis, we find that the coherence between dynamic total spillover and COVID-19 varies across time and frequency domains. |
format | Online Article Text |
id | pubmed-9744386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97443862022-12-13 COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis Xie, Qiwei Cheng, Lu Liu, Ranran Zheng, Xiaolong Li, Jingyu Financ Res Lett Article COVID-19 has influenced financial markets drastically; however, this influence has received little attention, particularly in China. This study investigates risk spillovers across China's financial and shipping markets through dynamic spillover measures based on time-varying parameter vector autoregression and generalized forecast error variance decompositions. Stock, fund, and futures markets are identified as major risk senders, whereas other markets are identified as major risk receivers. Surprisingly, bonds, gold, and shipping are safe havens that facilitate portfolio optimization. Furthermore, using wavelet coherence analysis, we find that the coherence between dynamic total spillover and COVID-19 varies across time and frequency domains. Elsevier Inc. 2023-03 2022-11-29 /pmc/articles/PMC9744386/ /pubmed/36531157 http://dx.doi.org/10.1016/j.frl.2022.103545 Text en © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Xie, Qiwei Cheng, Lu Liu, Ranran Zheng, Xiaolong Li, Jingyu COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis |
title | COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis |
title_full | COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis |
title_fullStr | COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis |
title_full_unstemmed | COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis |
title_short | COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis |
title_sort | covid-19 and risk spillovers of china's major financial markets: evidence from time-varying variance decomposition and wavelet coherence analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744386/ https://www.ncbi.nlm.nih.gov/pubmed/36531157 http://dx.doi.org/10.1016/j.frl.2022.103545 |
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