利用XBRL风险分类法的创建作为改进冠状病毒感染后10-K风险披露的驱动因素

IF 1.6 Q3 BUSINESS, FINANCE
Michael G. Alles
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引用次数: 2

摘要

冠状病毒危机导致许多知名企业倒闭,这与他们在2019年财务报表中所写的内容相矛盾。现在,10-K风险披露基本上是样板清单,未能提供任何对利益相关者真正重要的信息:企业面临的风险的性质、概率、管理层如何减轻这些风险,因此,业务的剩余风险是什么另一方面,使用XBRL详细标记风险披露只是时间问题,随着10-K的其余部分逐渐成为,创建XBRL风险分类法的过程是一个引入标准化语言的机会,该语言将使公司能够自愿向利益相关者披露更好的信息。创建真正全面的XBRL风险分类学的过程可以填补因缺乏风险测量和披露
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the Creation of an XBRL Risk Taxonomy as a Driver to Improve Post-Coronavirus 10-K Risk Disclosures
The coronavirus crisis has seen numerous well-known businesses fail, contradicting what they wrote in their own 2019 financial statements 10-K risk disclosures now are largely boilerplate lists, failing to provide any information about what really matters to stakeholders: the nature of the risks that the business faces, what are their probabilities, how management is mitigating those risks and, therefore, what is the residual risk of the business On the other hand, it is only a matter of time before risk disclosures are tagged in detail using XBRL, as the rest of the 10-K has progressively become The process of creating a XBRL risk taxonomy is an opportunity to introduce a standardized language that will enable companies to disclose voluntarily better information to stakeholders The process of creating a truly comprehensive XBRL risk taxonomy can fill the gap left by the absence of "generally accepted principles" for risk measurement and disclosure
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来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
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