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An empirical investigation to IT corporation using collocational networks method

Yuanqin Li (Management School of Shanghai Jiaotong University, Shanghai, People's Republic of China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 March 2006

474

Abstract

Purpose

To study how the collocational networks method could be used to analyze textual contents in listed companies' annual reports written in Chinese, in an attempt to identify hidden facts that are not released in a listed company's financial statements.

Design/methodology/approach

This research extended the collocation network analysis method from English textual contents to Chinese textual contents. The extended collocation network method was used to analyze an Information Technology company, Clever, listed in Shanghai stock exchange of China.

Findings

Using the extended collocational networks method, some hidden facts about a Chinese listed company's financial status could be identified, which were not reported in company's officially released financial statements.

Practical implications

The extended collocation network method may supplement the commonly practiced fundamental financial analysis method in helping investors have a better understanding about the financial soundness of listed companies. This is especially important to investors in stock markets of some developing countries, including China. In addition, this method may help regulators of stock market, especially in developing countries, to identify possible loopholes of existing financial regulations as well as some inappropriate practices of some listed companies in disclosing misleading or incorrect financial data in their financial statements.

Originality/value

The first study using the collocational networks method to analyze annual reports of Chinese corporations listed in Shanghai stock exchange, a newly established stock market.

Keywords

Citation

Li, Y. (2006), "An empirical investigation to IT corporation using collocational networks method", Industrial Management & Data Systems, Vol. 106 No. 3, pp. 423-436. https://doi.org/10.1108/02635570610653533

Publisher

:

Emerald Group Publishing Limited

Copyright © 2006, Emerald Group Publishing Limited

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