Title :
Financial Distress Prediction Models of China´s Listed Companies
Author :
Guo-ming, Qian ; Yuan, Feng ; Ling, Zhou
Author_Institution :
Harbin Inst. of Technol., Harbin
Abstract :
Research of financial distress prediction models has just started in China, and there are some differences between the study abroad and that in China both from the methods and the perspective of research, which are mainly due to the difference of the degree of maturity of the capital market and the imperfections of research methods. Using listed manufacturing industry as its research object and whether the listed company has been special transaction because "the financial conditions are unusual" as a sign of financial distress, this paper adopts the canonical discriminant analysis method of the multivariate discriminant analysis, applies several variables which can cover every aspect of a listed company\´s financial position, utilize the financial data from the audited financial statements and search the variables and prediction models that can predict the financial distress of listed companies as accurately as possible.
Keywords :
financial management; investment; manufacturing industries; statistical analysis; China listed companies; audited financial statements; canonical discriminant analysis; capital market; financial distress prediction models; listed manufacturing industry; multivariate discriminant analysis; Artificial neural networks; Conference management; Engineering management; Financial management; Forward contracts; Information technology; Logistics; Predictive models; Regression analysis; Technology management; financial distress; listed company; prediction models; the multivariate discriminant analysis;
Conference_Titel :
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-7-88358-080-5
Electronic_ISBN :
978-7-88358-080-5
DOI :
10.1109/ICMSE.2007.4422105