Using the Creation of an XBRL Risk Taxonomy as a Driver to Improve Post-Coronavirus 10-K Risk Disclosures

Author:

Alles Michael1ORCID

Affiliation:

1. Rutgers, The State University of New Jersey, Newark

Abstract

ABSTRACT 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.

Publisher

American Accounting Association

Subject

Computer Science Applications,Accounting

Reference21 articles.

1. AICPA. 2019. The state of risk oversight: An overview of enterprise risk management practices. 10th anniversary edition. Available at: https://www.aicpa.org/content/dam/aicpa/interestareas/businessindustryandgovernment/resources/erm/downloadabledocuments/aicpa-erm-research-study-2019.pdf (last accessed February 10, 2021).

2. Bao, Y., and Datta A. 2014. Simultaneously discovering and quantifying risk types from textual disclosures. Management Science 60 ( 6): 1371– 1391. https://doi.org/10.1287/mnsc.2014.1930

3. Bhushan, I. 2020. An expert explains: What SARS taught East Asia, and what India can learn from Covid. Indian Express Newspaper. (February 10). Available at: https://indianexpress.com/article/explained/explained-sars-covid-19-east-asia-india-indu-bhushan-indu-bhushan-6400817/ (last accessed February 10, 2021).

4. Campbell, J., Chen H., Dhaliwal D., Lu H., and Steele L. 2014. The information content of mandatory risk factor disclosures in corporate filings. Review of Accounting Studies 19 ( 1): 396– 455. https://doi.org/10.1007/s11142-013-9258-3

5. Centers for Disease Control and Prevention (CDC). 2004. Public health guidance for community-level preparedness and response to severe acute respiratory syndrome (SARS) Version 2/3. Available at: https://www.cdc.gov/sars/guidance/core/keymeasures.html (last accessed February 10, 2021).

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3