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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-9760399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT cristofarolorenzo modellingstockmarketdatainchinacrisisandcoronavirus AT gilalanaluisa modellingstockmarketdatainchinacrisisandcoronavirus AT chenzhongfei modellingstockmarketdatainchinacrisisandcoronavirus AT wankepeter modellingstockmarketdatainchinacrisisandcoronavirus |