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Modelling stock market data in China: Crisis and Coronavirus

Global financial markets experienced distinct collapses during the global financial crisis in 2008 and the COVID-19 pandemic in 2020, and similarity in the underlying nature is still a hot topic to be investigated. This paper investigates their degree of persistence in order to detect whether the sh...

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Detalles Bibliográficos
Autores principales: Cristofaro, Lorenzo, Gil-Alana, Luis A., Chen, Zhongfei, Wanke, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760399/
https://www.ncbi.nlm.nih.gov/pubmed/36568729
http://dx.doi.org/10.1016/j.frl.2020.101865
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author Cristofaro, Lorenzo
Gil-Alana, Luis A.
Chen, Zhongfei
Wanke, Peter
author_facet Cristofaro, Lorenzo
Gil-Alana, Luis A.
Chen, Zhongfei
Wanke, Peter
author_sort Cristofaro, Lorenzo
collection PubMed
description Global financial markets experienced distinct collapses during the global financial crisis in 2008 and the COVID-19 pandemic in 2020, and similarity in the underlying nature is still a hot topic to be investigated. This paper investigates their degree of persistence in order to detect whether the shocks affecting them have temporary or permanent effects by examining the closing prices of the Shanghai and Shenzhen Composite Indices from 1991 to 2020. The results before the coronavirus indicate large degrees of persistence with shocks having permanent effects, while during the coronavirus the results indicate a mean reversion with shocks having temporary effects.
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spelling pubmed-97603992022-12-19 Modelling stock market data in China: Crisis and Coronavirus Cristofaro, Lorenzo Gil-Alana, Luis A. Chen, Zhongfei Wanke, Peter Financ Res Lett Article Global financial markets experienced distinct collapses during the global financial crisis in 2008 and the COVID-19 pandemic in 2020, and similarity in the underlying nature is still a hot topic to be investigated. This paper investigates their degree of persistence in order to detect whether the shocks affecting them have temporary or permanent effects by examining the closing prices of the Shanghai and Shenzhen Composite Indices from 1991 to 2020. The results before the coronavirus indicate large degrees of persistence with shocks having permanent effects, while during the coronavirus the results indicate a mean reversion with shocks having temporary effects. Elsevier Inc. 2021-07 2020-11-24 /pmc/articles/PMC9760399/ /pubmed/36568729 http://dx.doi.org/10.1016/j.frl.2020.101865 Text en © 2020 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
Cristofaro, Lorenzo
Gil-Alana, Luis A.
Chen, Zhongfei
Wanke, Peter
Modelling stock market data in China: Crisis and Coronavirus
title Modelling stock market data in China: Crisis and Coronavirus
title_full Modelling stock market data in China: Crisis and Coronavirus
title_fullStr Modelling stock market data in China: Crisis and Coronavirus
title_full_unstemmed Modelling stock market data in China: Crisis and Coronavirus
title_short Modelling stock market data in China: Crisis and Coronavirus
title_sort modelling stock market data in china: crisis and coronavirus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760399/
https://www.ncbi.nlm.nih.gov/pubmed/36568729
http://dx.doi.org/10.1016/j.frl.2020.101865
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