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Since the seminal work of Pawlak has been published in 1982, the rough set theory (RST) has continued to flourish as a tool for data mining, however, to date, relatively a few empirical researches have been conducted on the rough set approach in the context of corporate failure prediction in Chinese market. This paper applies an advanced RST, namely the variable precision rough sets (VPRS) model,...
To empirically investigate the relationship between the corporate governance characteristics and the risk of financial distress for Chinese listed companies. Binary logistic analysis is used to test the effect of ownership structure characteristics on the probability of financial distress with a total sample of 384 listed companies. Logistic regression results show that: ownership concentration, state...
The paper uses the panel data model to analyze the listed companies of the manufactory industry in China. The paper studies the market value and the book value of the government sharecontrolling companies and the private sharecontrolling companies from the aspect of the shareholder, the director board, the senior manager, the creditor and the employee according to the stakeholder theory, we find that...
Rough set theory has been proved to be an effective tool for data mining, but there are few researches about business failure prediction with rough set. This paper proposes a hybrid index system combing both financial and non-financial indexes based on rough set theory, which takes financial indexes and some non-financial indexes represent corporate governance etc. as condition attributes, and whether...
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