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ESG Disclosures and Stock Price Crash Risk

机译:ESG披露和股票价格崩溃风险

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In this study, we investigate the relationship between environmental, social, and governance (ESG) disclosures and stock price crash risk. A stock price crash is a dreadful event for market participants. Thus, exploring stock price crash determinants is helpful for investment decisions and risk management. In this study, we use samples of major market index components in Europe, the United States, and Japan to perform regression analyses, after controlling for other potential stock price crash determinants. We estimate static two-way fixed-effect models and dynamic GMM models. We find that coefficients of firm-level ESG disclosures are not statistically significant in the static model. ESG disclosure coefficients in the dynamic model are not statistically significant in the U.S. market sample. On the other hand, coefficients of ESG disclosure scores in the dynamic model are statistically significant and negative in the European and Japanese marker sample. Our findings suggest that ESG disclosures lower future stock price crash risk; however, the effect and predictive power of ESG disclosures differ among regions.
机译:在这项研究中,我们调查了环境,社会和治理(ESG)披露和股票价格碰撞风险之间的关系。股票价格崩溃是市场参与者的可怕活动。因此,探索股票价格崩溃决定簇有助于投资决策和风险管理。在这项研究中,我们在控制其他潜在股价崩溃的决定因素后,使用欧洲,美国和日本的主要市场指数成分的样本进行回归分析。我们估算静态双向固定效果模型和动态GMM型号。我们发现,在静态模型中,公司级ESG披露的系数在统计学上没有统计学意义。动态模型中的ESG披露系数在美国市场样本中没有统计学意义。另一方面,动态模型中的ESG公开分数的系数在欧洲和日本标记样品中具有统计学意义和阴性。我们的研究结果表明,ESG披露未来的未来股票价格崩溃风险;然而,ESG披露的效果和预测力在地区不同。

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