Mining Executive Compensation Data from SEC Filings

Chengmin Ding, Ping Chen
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引用次数: 4

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
从SEC文件中挖掘高管薪酬数据
近年来,公司治理已成为投资决策的重要关注点。高管薪酬作为评价公司治理的重要因素之一,受到了广泛的关注。大多数高管薪酬过高的公司都与丑闻或企业倒闭有关。本文提出了一个文本挖掘系统ECRS(高管薪酬检索系统),用于自动从SEC (http://www.sec.gov)代理文件中提取高管薪酬数据。基于提取的数据进行了分析,并给出了一些使用原始数据为金融分析师提供有用信息的示例
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