Do Corporate Governance Factors Matter for Financial Distress Prediction of Firms? Evidence from Tiawan.

Wu, Jia-Ling (2007) Do Corporate Governance Factors Matter for Financial Distress Prediction of Firms? Evidence from Tiawan. [Dissertation (University of Nottingham only)] (Unpublished)

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A large number of researchers devote themselves to the study of

financial distress predictive models over the past decades. The first

analysis method, which is Univariate approach, towards predicting

model was introduced by Beaver (1966) and Multiple Discriminant

Analysis (MDA) was proposed by Altman (1986) thereafter. Due to the

fact that these two approaches can not perform precisely to predict a

financial distress, Martin (1977) introduces the Logit model applied in

the predictive models and Ohlson (1980) even expands selected samples to improve the accuracy rate of prediction.

Although prediction models of financial distress have been improved

via various applied statistic models, more information should be

included to improve the quality of predictive models. Hence, Daily and

Dalton (1994a) conduct a study to explore the relationship between

corporate governance mechanism and probabilities that companies

might experience financial crisis by means of considering both

financial and governance variables since corporate governance has

been proved that it has a substantial impact on the performance of


To investigate whether corporate governance is related to the

probability of financial distress, ten governance variables are adopted

in this study and the Binary Logit model is employed to establish a

financial distress predictive model. The results indicate that seven

variables, which are the percentage of shares held by institutional

shareholders, the extent of concentration, cash flow rights, the ratio

of cash flow to control rights, the ratio of board seats held by outside directors and supervisors, management participation and stock

pledge ratio, have a significant impact on the financial distress

predictive probability. The classification accuracy rate is also raised by means of adopting governance variables besides financial variables in the predictive models and the predictive model perform differently in the electronic and non-electronic industry. It is also discovered that the qualities of corporate governance in Taiwan still need to be improved. In sum, this study concludes that weak corporate

governance leads to higher probability of financial distress.

Item Type: Dissertation (University of Nottingham only)
Depositing User: EP, Services
Date Deposited: 10 Mar 2008
Last Modified: 22 Oct 2016 19:42

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