COVID-19披露:一种新的测量方法和年度报告的不确定性

Mahmoud Elmarzouky, Khaldoon Albitar, Atm Enayet Karim, Ahmed Saber Moussa
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引用次数: 23

摘要

本文提供了一种独特的COVID-19披露测量方法,并调查了英国富时全指数非金融公司年度报告中COVID-19披露水平与不确定性之间的关系。我们使用自动文本分析对抽样年度报告进行评分。结果表明,不同行业的疫情信息披露水平存在差异。此外,年度报告中COVID-19信息披露与不确定性之间存在正相关关系。董事会规模较大的公司在披露COVID-19的年度报告中表现出更大的不确定性。然而,在披露COVID-19的年度报告中,不确定性的重要性在不同的董事会独立性百分比下保持相同的水平。本文的独特发现与政府、股东、政策制定者、供应商和债权人极其相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 Disclosure: A Novel Measurement and Annual Report Uncertainty
This paper provides a unique COVID-19 disclosure measurement and investigates the association between the level of COVID-19 disclosure and uncertainty within annual reports for UK FTSE-All share non-financial firms. We used automated textual analysis to score the sampled annual reports. The results show that the level of COVID-19 disclosure varies from industry to industry. Furthermore, there is a positive relationship between COVID-19 disclosure and uncertainty in annual reports. Firms with larger boards exhibit more significant uncertainty in annual reports with COVID-19 disclosure. However, the significance of uncertainty in annual reports with COVID-19 disclosure remains at the same level with different board independence percentages. The unique findings of this paper are extremely relevant to governments, shareholders, policymakers, suppliers, and creditors.
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