Financial Distress Prediction Models of Listed Companies by Using Non-Financial Determinants in Bayesian Criterion
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...
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| creator | Geng, Zhaoyuan Tan, Lan Gao, Xiaoli Ma, Yining Feng, Lufeng Zhu, Jiaying |
| description | 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. |
| doi_str_mv | 10.1109/ICMSS.2011.5998341 |
| format | Conference Proceeding |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy Analytical models Bayesian methods Companies Indexes Marketing and sales Predictive models |
| title | Financial Distress Prediction Models of Listed Companies by Using Non-Financial Determinants in Bayesian Criterion |
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