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The Timescale Effects of Corporate Governance Measure on Predicting Financial Distress

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Author Info
Hsin-Hung Chen () (Department of Business Administration, Cheng Shiu University, No. 840, Chengcing Road, Niaosong Township, Kaohsiung County 833, Taiwan)
Abstract

This study aims to investigate the timescale effects of the corporate governance measure on predicting financial distress of corporations. A new corporate governance measure is adopted in the logistic regression model. Historical data of the companies listed on the Taiwan Stock Exchange Corporation (TSEC) were used in the empirical analysis. The analysis was based on three different prediction horizons comprising one-, two- and three-year horizons. The results confirmed that the accuracy of the logistic regression model for predicting corporate financial distress can be improved by incorporating the corporate governance measure. Moreover, the improvements of the correct rate for classification by incorporating the corporate governance measure increased as the prediction horizon was raised. The improvements of the correct rate for classification by incorporating the corporate governance measure are 2.9%, 4.4% and 5.8% for "Year 1", "Year 2" and "Year 3" models respectively.

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Publisher Info
Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal Review of Pacific Basin Financial Markets and Policies.

Volume (Year): 11 (2008)
Issue (Month): 01 ()
Pages: 35-46
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Handle: RePEc:wsi:rpbfmp:v:11:y:2008:i:01:p:35-46

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Related research
Keywords: Corporate governance; financial distress; financial ratios; logistic regression;

Find related papers by JEL classification:
G1 - Financial Economics - - General Financial Markets
G2 - Financial Economics - - Financial Institutions and Services
G3 - Financial Economics - - Corporate Finance and Governance

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This page was last updated on 2009-12-22.


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