DocumentCode
1802709
Title
Mining Executive Compensation Data from SEC Filings
Author
Ding, Chengmin ; Chen, Ping
Author_Institution
Comkraft Inc.
fYear
2006
fDate
2006
Firstpage
49
Lastpage
49
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location
Atlanta, GA, USA
Print_ISBN
0-7695-2571-7
Type
conf
DOI
10.1109/ICDEW.2006.89
Filename
1623844
Link To Document