Title :
Financial Distress Prediction Models of Listed Companies by Using Non-Financial Determinants in Bayesian Criterion
Author :
Geng, Zhaoyuan ; Tan, Lan ; Gao, Xiaoli ; Ma, Yining ; Feng, Lufeng ; Zhu, Jiaying
Author_Institution :
Dept. of Appl. Econ., Zhejiang Univ., Hangzhou, China
Abstract :
Based on Bayesian Criterion, non-financial indicators were introduced in this paper to establish an early warning model for financial failures¿D Studies were carried out over 61 companies actually under Special Treatment (ST) and indicated that 54 of the companies were correctly judged (accuracy: 88.5%). The results proved good prediction effectiveness of the financial distress prediction model.
Keywords :
Bayes methods; economic cycles; financial management; Bayesian criterion; early warning model; financial distress prediction model; financial failures; listed companies; nonfinancial indicator; special treatment; Accuracy; Analytical models; Bayesian methods; Companies; Indexes; Marketing and sales; Predictive models;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5998341
