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Air pollution, stock returns, and trading activities in China()
The relationship between air pollution and stock pricing of locally headquartered firms is explored using firm-level data in China. Severe air pollution results in low returns, turnover, volatility, and high illiquidity, mainly through a home bias. The results remain robust after a series of checks....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148903/ http://dx.doi.org/10.1016/j.pacfin.2018.08.018 |
_version_ | 1783520696140300288 |
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author | Wu, Qinqin Hao, Ying Lu, Jing |
author_facet | Wu, Qinqin Hao, Ying Lu, Jing |
author_sort | Wu, Qinqin |
collection | PubMed |
description | The relationship between air pollution and stock pricing of locally headquartered firms is explored using firm-level data in China. Severe air pollution results in low returns, turnover, volatility, and high illiquidity, mainly through a home bias. The results remain robust after a series of checks. The relation between air pollution and local firm performance is insignificant, implying that the air pollution effects can be attributed to investor mood bias rather than to economic effects. The sensitivity of stock returns to air pollution is significantly large for high-growth stocks, distressed stocks, and stocks with high volatility. |
format | Online Article Text |
id | pubmed-7148903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71489032020-04-13 Air pollution, stock returns, and trading activities in China() Wu, Qinqin Hao, Ying Lu, Jing Pacific-Basin Finance Journal Article The relationship between air pollution and stock pricing of locally headquartered firms is explored using firm-level data in China. Severe air pollution results in low returns, turnover, volatility, and high illiquidity, mainly through a home bias. The results remain robust after a series of checks. The relation between air pollution and local firm performance is insignificant, implying that the air pollution effects can be attributed to investor mood bias rather than to economic effects. The sensitivity of stock returns to air pollution is significantly large for high-growth stocks, distressed stocks, and stocks with high volatility. Elsevier B.V. 2018-10 2018-09-01 /pmc/articles/PMC7148903/ http://dx.doi.org/10.1016/j.pacfin.2018.08.018 Text en © 2018 Elsevier B.V. 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 Wu, Qinqin Hao, Ying Lu, Jing Air pollution, stock returns, and trading activities in China() |
title | Air pollution, stock returns, and trading activities in China() |
title_full | Air pollution, stock returns, and trading activities in China() |
title_fullStr | Air pollution, stock returns, and trading activities in China() |
title_full_unstemmed | Air pollution, stock returns, and trading activities in China() |
title_short | Air pollution, stock returns, and trading activities in China() |
title_sort | air pollution, stock returns, and trading activities in china() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148903/ http://dx.doi.org/10.1016/j.pacfin.2018.08.018 |
work_keys_str_mv | AT wuqinqin airpollutionstockreturnsandtradingactivitiesinchina AT haoying airpollutionstockreturnsandtradingactivitiesinchina AT lujing airpollutionstockreturnsandtradingactivitiesinchina |