文献类型：会议论文

英文题名：A Study of Financial Distress Prediction based on Discernibility Matrix and ANN

作者：Bao, Xin-Zhong[1];Meng, Xiu-Zhuan[1];Fu, Hong-Yu[1]

第一作者：鲍新中

通讯作者：Bao, XZ[1]

机构：[1]Beijing Union Univ, Sch Management, Beijing, Peoples R China

第一机构：北京联合大学管理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Management, Beijing, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

会议论文集：International Conference on Management Science and Management Innovation (MSMI)

会议日期：JUN 14-15, 2014

会议地点：Changsha, PEOPLES R CHINA

语种：英文

外文关键词：Rough set; Artificial neural network; Financial distress prediction

摘要：Financial distress prediction is a significant issue that concerns stakeholders of enterprises. Due to the limitation of the samples available, most studies of financial prediction generally catagorize the financial situations of companies by whether they are bankrupt or specially treated in the stock market. In addition, the variables for prediction are determined mainly by subjective judgments. In order to overcome the influence of these limitations, this paper establishes a reduced variable system with sufficient information by rough set discernibility matrix method, and forms a progressive classification of financial situations by hierarchical clustering. These classifications are transformed as the target value of artificial neural network output layer to enhance the interpretation ability of the whole network. Combined with the inputs determined by Rough Set reduction, a neural network model is established to predict the financial distress, especially the turning point of financial degeneration.