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How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression
This paper discusses the asymmetric effect of air quality (AQ) on stock returns (SR) in China's health industry through the quantile-on-quantile (QQ) regression method. Compared to prior literature, our study provides the following contributions. Government intervention, especially industrial p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733208/ https://www.ncbi.nlm.nih.gov/pubmed/35004590 http://dx.doi.org/10.3389/fpubh.2021.789510 |
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author | Liu, Lu Wang, Kai-Hua Xiao, Yidong |
author_facet | Liu, Lu Wang, Kai-Hua Xiao, Yidong |
author_sort | Liu, Lu |
collection | PubMed |
description | This paper discusses the asymmetric effect of air quality (AQ) on stock returns (SR) in China's health industry through the quantile-on-quantile (QQ) regression method. Compared to prior literature, our study provides the following contributions. Government intervention, especially industrial policy, is considered a fresh and essential component of analyzing frameworks in addition to investors' physiology and psychology. Next, because of the heterogeneous responses from different industries to AQ, industrial heterogeneity is thus considered in this paper. In addition, the QQ method examines the effect of specific quantiles between variables and does not consider structural break and temporal lag effects. We obtain the following empirical results. First, the coefficients between AQ and SR in the health service and health technology industries change from positive to negative as AQ deteriorates. Second, AQ always positively influences the health business industry, but the values of the coefficients are larger in good air. In addition, different from other industries, the coefficients in the health equipment industry are negative, but the values of the coefficients change with AQ. The conclusions provide important references for investors and other market participants to avoid biased decisions due to poor AQ and pay attention to government industrial policies. |
format | Online Article Text |
id | pubmed-8733208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87332082022-01-07 How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression Liu, Lu Wang, Kai-Hua Xiao, Yidong Front Public Health Public Health This paper discusses the asymmetric effect of air quality (AQ) on stock returns (SR) in China's health industry through the quantile-on-quantile (QQ) regression method. Compared to prior literature, our study provides the following contributions. Government intervention, especially industrial policy, is considered a fresh and essential component of analyzing frameworks in addition to investors' physiology and psychology. Next, because of the heterogeneous responses from different industries to AQ, industrial heterogeneity is thus considered in this paper. In addition, the QQ method examines the effect of specific quantiles between variables and does not consider structural break and temporal lag effects. We obtain the following empirical results. First, the coefficients between AQ and SR in the health service and health technology industries change from positive to negative as AQ deteriorates. Second, AQ always positively influences the health business industry, but the values of the coefficients are larger in good air. In addition, different from other industries, the coefficients in the health equipment industry are negative, but the values of the coefficients change with AQ. The conclusions provide important references for investors and other market participants to avoid biased decisions due to poor AQ and pay attention to government industrial policies. Frontiers Media S.A. 2021-12-23 /pmc/articles/PMC8733208/ /pubmed/35004590 http://dx.doi.org/10.3389/fpubh.2021.789510 Text en Copyright © 2021 Liu, Wang and Xiao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Liu, Lu Wang, Kai-Hua Xiao, Yidong How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression |
title | How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression |
title_full | How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression |
title_fullStr | How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression |
title_full_unstemmed | How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression |
title_short | How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression |
title_sort | how air quality affect health industry stock returns: new evidence from the quantile-on-quantile regression |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733208/ https://www.ncbi.nlm.nih.gov/pubmed/35004590 http://dx.doi.org/10.3389/fpubh.2021.789510 |
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