How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression

被引:4
|
作者
Liu, Lu [1 ]
Wang, Kai-Hua [2 ]
Xiao, Yidong [3 ]
机构
[1] Ocean Univ China, Sch Management, Qingdao, Peoples R China
[2] Qingdao Univ, Sch Econ, Qingdao, Peoples R China
[3] Univ Tokyo, Grad Sch Econ, Tokyo, Japan
关键词
air quality; stock return; health industry; quantile-on-quantile method; heterogeneity; PUBLIC-HEALTH; GOVERNMENT INTERVENTIONS; TRADING ACTIVITIES; CRUDE-OIL; POLLUTION; CHINA; MARKET; SHANGHAI; POLICY; IMPACTS;
D O I
10.3389/fpubh.2021.789510
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页数:13
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