A Multivariate Mediation Analysis of PM2.5 Pollution and Stock Market Returns

Q1 Arts and Humanities
A. Khanthavit
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引用次数: 0

Abstract

Particulate matter 2.5 (PM2.5) is considered the most dangerous air-polluting particle, causing premature death and inducing severe mental and physical diseases worldwide. PM2.5 affects stock market returns directly via the fundamental channel and indirectly via the behavioral channel. This study examines the effects of Bangkok’s PM2.5 pollution on the return on the Market for Alternative Investment index portfolio using a multivariate mediation analysis. Attention, awareness, mood, sentiment, and stress, the mediating variables known to influence investors’ behavior, were considered jointly and explicitly in the model. This study is the first to introduce stress as a behavioral mediator. The roles and effects of the behavioral mediators were identified, measured, and compared. Using daily data from August 1, 2016, to November 30, 2023, this study found that the total, direct, and indirect effects were not significant. Stress was the only behavioral mediator that significantly and positively contributed to the indirect effects. This result remains unchanged for different estimation techniques, sample periods, representative stock returns, and PM2.5 occurrence times.
PM2.5 污染与股市回报率的多元中介分析
颗粒物 2.5(PM2.5)被认为是最危险的空气污染颗粒,在全球范围内导致过早死亡并诱发严重的身心疾病。PM2.5 通过基本面渠道直接影响股市收益,通过行为渠道间接影响股市收益。本研究采用多元中介分析法研究了曼谷 PM2.5 污染对另类投资市场指数投资组合收益率的影响。注意、意识、情绪、情感和压力这些已知会影响投资者行为的中介变量在模型中被明确地联合考虑。本研究首次引入压力作为行为中介变量。对行为中介变量的作用和影响进行了识别、测量和比较。通过使用 2016 年 8 月 1 日至 2023 年 11 月 30 日的每日数据,本研究发现,总效应、直接效应和间接效应均不显著。压力是唯一对间接效应有显著正向促进作用的行为中介因素。这一结果在不同的估算技术、样本期、代表性股票回报和 PM2.5 发生时间下保持不变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ABAC Journal
ABAC Journal Arts and Humanities-Literature and Literary Theory
CiteScore
2.20
自引率
0.00%
发文量
54
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