THE ROLE OF NON-FINANCIAL FEATURES RELATED TO CORPORATE GOVERNANCE IN BUSINESS CRISIS PREDICTION

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51590

Title:	THE ROLE OF NON-FINANCIAL FEATURES RELATED TO CORPORATE GOVERNANCE IN BUSINESS CRISIS PREDICTION
Authors:	Lin,FY;Liang,DR;Chu,WS
Contributors:	資訊工程學系
Keywords:	SUPPORT VECTOR MACHINES;BANKRUPTCY PREDICTION;NEURAL-NETWORKS;RATIOS;ENTRENCHMENT;DISTRESS;FAILURE;TAIWAN
Date:	2010
Issue Date:	2012-03-27 18:56:54 (UTC+8)
Publisher:	國立中央大學
Abstract:	Recent outbreak of corporate financial crises worldwide has brought attention to the need for a new international financial architecture which rests on crisis prediction and crisis management. It is therefore both desirable and vital to explore new predictive techniques for providing early warnings aganist bankruptcy. Financial data have been widely used by researchers to predict financial distress or business crisis, but few studies exploit the use of non-financial indicators related to corporate governance to construct business crisis prediction model. This article introduces into the field of business crisis prediction model based on a combination of both financial and corporate governance related non-financial data. The experiment results show that the combined use of both financial and non-financial features with SVM model leads to a more accurate prediction of financial distress.
Relation:	JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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