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Decision Support Systems
Volume 35, Issue 1, April 2003, Pages 7-29
 
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doi:10.1016/S0167-9236(02)00096-9    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2002 Elsevier Science B.V. All rights reserved.

EDGAR-Analyzer: automating the analysis of corporate data contained in the SEC's EDGAR database

John Gerdes, Jr. Corresponding Author Contact Information, E-mail The Corresponding Author

The A. Gary Anderson Graduate School of Management, University of California, Riverside, CA, 92521, USA

Available online 24 May 2002.

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Abstract

Publicly owned companies, their officers and major investors are required to file regular disclosures with the Securities and Exchange Commission (SEC). To improve accessibility to these public documents, the SEC began developed the EDGAR (Electronic Data Gathering, Analysis and Retrieval) electronic disclosure system. This system provides ready, free access to all electronic filings made since 1994. The paper describes a tool that automates the analysis of SEC filings, emphasizing the unstructured text sections of these documents. To illustrate the capabilities of the EDGAR-Analyzer program, results of a large-scale case study of corporate Y2K disclosures in 18,595 10K filings made from 1997 to 1999 is presented.

Author Keywords: SEC; EDGAR; Tool; Financial Analysis; Functional decomposition model; Y2K

Article Outline

1. Introduction
2. SEC's EDGAR database
2.1. Underlying data in SEC's EDGAR database
2.2. State of the art in EDGAR analysis tools
3. Development of EDGAR-Analyzer, a text-based analysis tool
3.1. EDGAR-Analyzer
3.2. Operational issues
4. Sample study—Y2K
4.1. Review of the Y2K problem
4.2. Case study
4.3. Case study results
5. Discussion and directions for further research
5.1. Future of EDGAR
5.2. Areas for future research
References
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