Title :
Mining Executive Compensation Data from SEC Filings
Author :
Ding, Chengmin ; Chen, Ping
Author_Institution :
Comkraft Inc.
Abstract :
In recent years, corporate governance has become an important concern in investment decision-making. As one of the most important factors in evaluating corporate governance, executive compensation study has drawn a lot of attention. Most companies with excessive executive pay are linked with scandals or corporate failures. This paper presents a text mining system ECRS (Executive Compensation Retrieval System) to automatically extract executive compensation data from the SEC (http://www.sec.gov) proxy filing. An analysis based on the extracted data is provided and some samples on using the raw data to derive useful information for the financial analysts are also presented
Keywords :
Best practices; Business; Data mining; Decision making; Guidelines; Information analysis; Information retrieval; Investments; Rivers; Text mining;
Conference_Titel :
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location :
Atlanta, GA, USA
Print_ISBN :
0-7695-2571-7
DOI :
10.1109/ICDEW.2006.89