Does XBRL help improve data processing efficiency?

IF 4.3 Q2 MANAGEMENT
Y. Rao, Ken H. Guo
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引用次数: 1

Abstract

Purpose The US Securities and Exchange Commission (SEC) requires public companies to file structured data in eXtensible Business Reporting Language (XBRL). One of the key arguments behind the XBRL mandate is that the technical standard can help improve processing efficiency for data aggregators. This paper aims to empirically test the data processing efficiency hypothesis. Design/methodology/approach To test the data processing efficiency hypothesis, the authors adopt a two-sample research design by using data from Compustat: a pooled sample (N = 61,898) and a quasi-experimental sample (N = 564). The authors measure data processing efficiency as the time lag between the dates of 10-K filings on the SEC’s EDGAR system and the dates of related data finalized in the Compustat database. Findings The statistical results show that after controlling for potential effects of firm size, age, fiscal year and industry, XBRL has a non-significant impact on data efficiency. It suggests that the data processing efficiency benefit may have been overestimated. Originality/value This study provides some timely empirical evidence to the debate as to whether XBRL can improve data processing efficiency. The non-significant results suggest that it may be necessary to revisit the mandate of XBRL reporting in the USA and many other countries.
XBRL有助于提高数据处理效率吗?
目的美国证券交易委员会(SEC)要求上市公司以可扩展商业报告语言(XBRL)提交结构化数据。XBRL授权背后的一个关键论点是,该技术标准可以帮助提高数据聚合器的处理效率。本文旨在对数据处理效率假设进行实证检验。设计/方法/方法为了验证数据处理效率假设,作者采用双样本研究设计,使用Compustat的数据:一个合并样本(N = 61898)和一个准实验样本(N = 564)。作者将数据处理效率衡量为SEC EDGAR系统上10-K文件的日期与Compustat数据库中最终确定的相关数据的日期之间的时间差。统计结果表明,在控制了企业规模、年龄、会计年度和行业的潜在影响后,XBRL对数据效率的影响不显著。这表明数据处理效率的好处可能被高估了。原创性/价值本研究为XBRL能否提高数据处理效率的争论提供了一些及时的经验证据。不显著的结果表明,可能有必要重新审视XBRL报告在美国和许多其他国家的授权。
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
CiteScore
7.90
自引率
3.00%
发文量
28
期刊介绍: The International Journal of Accounting & Information Management focuses on publishing research in accounting, finance, and information management. It specifically emphasizes the interaction between these research areas on an international scale and within both the private and public sectors. The aim of the journal is to bridge the knowledge gap between researchers and practitioners by covering various issues that arise in the field. These include information systems, accounting information management, innovation and technology in accounting, accounting standards and reporting, and capital market efficiency.
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