Costs associated with exit or disposal activities: A topic modeling investigation of disclosure and market reaction

Q1 Economics, Econometrics and Finance
Charles P. Cullinan, Richard Holowczak, David Louton, Hakan Saraoglu
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引用次数: 0

Abstract

The Securities and Exchange Commission (SEC) mandates disclosure of exit or disposal activity events in 8-K filings. We use Latent Dirichlet Allocation (LDA), a topic modeling method from computational linguistics, to investigate the possibility that substantively different event types may be subsumed under Item 2.05, the SEC category for costs associated with exit or disposal activities. Our analysis reveals that four distinct topics are reported under the Item 2.05 umbrella category: (1) restructuring, (2) disposal of a line of business, (3) plant closings, and (4) layoffs/workforce reductions. We then investigate various aspects of these 8-K filings. We find that the market reacts most negatively to workforce reductions that are reported in the absence of a broader strategic initiative. Subsequent amendments to the Item 2.05 8-K filings are significantly more likely for restructuring initiatives, and significantly less likely for layoffs. Asset impairment charges most frequently accompany line-of-business disposals and plant closings. Our results demonstrate that there are meaningful differences between the event types reported within Item 2.05 filings and that LDA provides a useful means of differentiating among these event types.

与退出或处置活动相关的成本:对信息披露和市场反应的专题建模调查
美国证券交易委员会(SEC)要求在8‐K文件中披露退出或处置活动事件。我们使用潜在狄利克雷分配(Latent Dirichlet Allocation, LDA),一种来自计算语言学的主题建模方法,来调查与退出或处置活动相关的成本在美国证券交易委员会(SEC)类别第2.05项下包含实质性不同事件类型的可能性。我们的分析显示,在项目2.05总括类别下报告了四个不同的主题:(1)重组,(2)处置业务线,(3)关闭工厂,以及(4)裁员/裁员。然后,我们调查这些8‐K文件的各个方面。我们发现,在缺乏更广泛的战略举措的情况下,市场对裁员的反应最为负面。对第2.05项8‐K文件的后续修订更有可能涉及重组计划,而裁员的可能性要小得多。资产减值费用通常伴随着业务线处置和工厂关闭。我们的结果表明,在item2.05文件中报告的事件类型之间存在有意义的差异,并且LDA提供了区分这些事件类型的有用方法。
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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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