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Exploring the effect of Covid-19 on herding in Asian financial markets
We examine herding behavior before, during, and after the Covid-19 pandemic in eight prominent Asian stock markets. Daily stock returns for the period Jan- 2018 to July- 2022 in the markets were investigated using the models prescribed by Chang et al., (2000) and Chiang and Zheng (2010). The empiric...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721475/ https://www.ncbi.nlm.nih.gov/pubmed/36507467 http://dx.doi.org/10.1016/j.mex.2022.101961 |
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author | Vidya, C.T. Ravichandran, Rashika Deorukhkar, Aditya |
author_facet | Vidya, C.T. Ravichandran, Rashika Deorukhkar, Aditya |
author_sort | Vidya, C.T. |
collection | PubMed |
description | We examine herding behavior before, during, and after the Covid-19 pandemic in eight prominent Asian stock markets. Daily stock returns for the period Jan- 2018 to July- 2022 in the markets were investigated using the models prescribed by Chang et al., (2000) and Chiang and Zheng (2010). The empirical results provide strong support to earlier studies by providing robust evidence of herding in Vietnam, Indonesia, India, South Korea, and Singapore when the market is bullish and Indonesia and Vietnam also exhibit herding when the market is bearish. Herding tendency is dominant for Vietnam, India, and Indonesia during the pandemic with the post-pandemic time being more potent for China and Vietnam. Notably, an anti-herding tendency is found in China, Hong Kong, and Singapore. As a policy measure, efficient information dissemination, deterrence of insider trading, and regulation of mispricing can be undertaken. |
format | Online Article Text |
id | pubmed-9721475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97214752022-12-06 Exploring the effect of Covid-19 on herding in Asian financial markets Vidya, C.T. Ravichandran, Rashika Deorukhkar, Aditya MethodsX Economics/Business We examine herding behavior before, during, and after the Covid-19 pandemic in eight prominent Asian stock markets. Daily stock returns for the period Jan- 2018 to July- 2022 in the markets were investigated using the models prescribed by Chang et al., (2000) and Chiang and Zheng (2010). The empirical results provide strong support to earlier studies by providing robust evidence of herding in Vietnam, Indonesia, India, South Korea, and Singapore when the market is bullish and Indonesia and Vietnam also exhibit herding when the market is bearish. Herding tendency is dominant for Vietnam, India, and Indonesia during the pandemic with the post-pandemic time being more potent for China and Vietnam. Notably, an anti-herding tendency is found in China, Hong Kong, and Singapore. As a policy measure, efficient information dissemination, deterrence of insider trading, and regulation of mispricing can be undertaken. Elsevier 2022-12-05 /pmc/articles/PMC9721475/ /pubmed/36507467 http://dx.doi.org/10.1016/j.mex.2022.101961 Text en © 2022 Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Economics/Business Vidya, C.T. Ravichandran, Rashika Deorukhkar, Aditya Exploring the effect of Covid-19 on herding in Asian financial markets |
title | Exploring the effect of Covid-19 on herding in Asian financial markets |
title_full | Exploring the effect of Covid-19 on herding in Asian financial markets |
title_fullStr | Exploring the effect of Covid-19 on herding in Asian financial markets |
title_full_unstemmed | Exploring the effect of Covid-19 on herding in Asian financial markets |
title_short | Exploring the effect of Covid-19 on herding in Asian financial markets |
title_sort | exploring the effect of covid-19 on herding in asian financial markets |
topic | Economics/Business |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9721475/ https://www.ncbi.nlm.nih.gov/pubmed/36507467 http://dx.doi.org/10.1016/j.mex.2022.101961 |
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