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22nd International Conference on Data Engineering Workshops (ICDEW'06)
Mining Executive Compensation Data from SEC Filings
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2571-7
Chengmin Ding, Comkraft Inc.
Ping Chen, University of Houston-Downtown
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

Citation:
Chengmin Ding, Ping Chen, "Mining Executive Compensation Data from SEC Filings," icdew, pp.49, 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
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