An Application of Logistic Regression with Corporate Governance to Financial Distress Prediction / 羅吉斯迴歸與公司治理指標於財務危機預警模型之應用

碩士 / 正修科技大學 / 經營管理研究所 / 95 / Corporate financial distress has been an important issue for financial field. Previous articles generally used financial ratios as independent variables to predict corporate financial distress. In recent years, researchers have started to add corporate governance measures as independent variables. However, the corporate governance measures used in these researches are complicate and subjective. This study uses a simple and objective corporate governance measures to examine whether the inclusion of corporate governance measure in a logistic regression prediction model would provide better results than that based on traditional financial ratios alone. The samples of this research are selected from the M.O.P.S (market observation post system) database from Jan 1, 2004 to Dec 31, 2005. The samples have 66 companies including 44 normal companies and 22 financial distress companies. The result of empirical analysis showed that 86.4% of the observations were classified correctly in the model based on traditional financial ratios alone. And the correct rate of classification increased to 93.9% in the model incorporating the corporate governance measure and traditional financial ratios.

Identiferoai:union.ndltd.org:TW/095CSU00457001
Date January 2007
CreatorsChen, Kun-ho, 陳琨和
Contributors陳信宏
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format63

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