Title :
Study on Improving Z-score Model Based on the Logistic Model: Evidence from Listed Companies in China
Author :
Hu Gang ; Zhang Xiaomao
Author_Institution :
Bus. Sch., Central South Univ., Changsha, China
Abstract :
In this paper, based on the analysis of the Altman Z-score model, a new research instrument was proposed for the research method. In this paper, 41 ST companies and 41 non-ST companies were taken as samples, seven of the 20 financial indices two year before the financial distress of ST companies were selected as prediction variables and finally the financial distress model was set up with logistic regression analysis. The results showed that compared with Altman Z-score model, the new model is of better prediction effect.
Keywords :
regression analysis; stock markets; Altman Z-score model; ST companies; financial distress model; financial indices; logistic model; logistic regression analysis; research method; Companies; Economic forecasting; Industrial engineering; Information analysis; Information management; Innovation management; Logistics; Predictive models; Risk analysis; Stock markets; Logistic model; ST-company; Z-score model; financial distress prediction;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.216
