Measuring Firm Complexity

IF 3.9 2区 经济学 Q1 Economics, Econometrics and Finance Journal of Financial and Quantitative Analysis Pub Date : 2023-05-15 DOI:10.1017/s0022109023000716
Tim Loughran, Bill McDonald
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引用次数: 3

Abstract

Abstract In business research, firm size is both ubiquitous and readily measured. Complexity, another firm-related construct, is also relevant, but difficult to measure and not well-defined. As a result, complexity is less frequently incorporated in empirical designs. We argue that most extant measures of complexity are one-dimensional, have limited availability, and/or are frequently misspecified. Using both machine learning and an application-specific lexicon, we develop a text solution that uses widely available data and provides an omnibus measure of complexity. Our proposed measure, used in tandem with 10-K file size, provides a useful proxy that dominates traditional measures.
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衡量企业复杂性
在商业研究中,企业规模无处不在,也很容易测量。复杂性,另一个与公司相关的结构,也是相关的,但难以衡量和没有定义。因此,复杂性很少被纳入经验性设计。我们认为,大多数现存的复杂性度量都是一维的,可用性有限,和/或经常被错误指定。使用机器学习和特定于应用程序的词典,我们开发了一个文本解决方案,该解决方案使用了广泛可用的数据,并提供了一个综合的复杂性度量。我们建议的度量方法与10-K文件大小一起使用,提供了一个有用的代理,它优于传统度量方法。
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来源期刊
CiteScore
6.60
自引率
5.10%
发文量
131
期刊介绍: The Journal of Financial and Quantitative Analysis (JFQA) publishes theoretical and empirical research in financial economics. Topics include corporate finance, investments, capital and security markets, and quantitative methods of particular relevance to financial researchers. With a circulation of 3000 libraries, firms, and individuals in 70 nations, the JFQA serves an international community of sophisticated finance scholars—academics and practitioners alike. The JFQA prints less than 10% of the more than 600 unsolicited manuscripts submitted annually. An intensive blind review process and exacting editorial standards contribute to the JFQA’s reputation as a top finance journal.
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