Affiliation:
1. University of Detroit Mercy
2. San Francisco State University
Abstract
ABSTRACT
This study uses Coh-Metrix to analyze multiple dimensions of readability of the MD&A section of the SEC Form 10-K. We incorporate the five main Coh-Metrix components of text easability (word concreteness, syntactic simplicity, referential cohesion, deep cohesion, and narrativity) into a logistic model to test their predictive power for financial misreporting. We find that compared to the MD&As of nonfraud firms, the MD&As of fraud firms connect clauses and sentences less coherently, use more story-like language, and show a higher number of vague and abstract words. Thus, referential cohesion, narrativity, and word concreteness significantly enhance predictive ability in fraud detection. The Coh-Metrix readability measures enhance the linguistic complexity assessment beyond traditional readability measures, such as the Fog Index and the Flesch Indexes. Financial analysts and investors can utilize the Coh-Metrix readability measures to supplement traditional readability measures and common financial statement variables in predicting financial misreporting.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: G32; K42; M41; M48.
Publisher
American Accounting Association
Subject
Computer Science Applications,History,Education,General Earth and Planetary Sciences,General Environmental Science
Reference75 articles.
1. Financial reporting fraud and other forms of misconduct: A multidisciplinary review of the literature;Amiram,;Review of Accounting Studies,2018
2. Detecting accounting frauds in publicly traded U.S. firms using a machine learning approach;Bao,;Journal of Accounting Research,2020
3. A decision aid for assessing the likelihood of fraudulent financial reporting;Bell,;AUDITING: A Journal of Practice & Theory,2000
4. A plain English measure of financial reporting readability;Bonsall,;Journal of Accounting and Economics,2017
5. Using nonfinancial measures to assess fraud risk;Brazel,;Journal of Accounting Research,2009