Visualized Prediction Model of Financial Distress using Self Organization Map

• Main Author: 沈紋任
• Other Authors: 王克陸
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/43760229764304772522

碩士 === 國立交通大學 === 財務金融研究所 === 93 === This study tries to construct a visualed early warning model of financial distress for the listed companies in Taiwan using the self organization map method. The result can help the investor find out the problem companies in the future, and warn the managers to modify the operational strategy. The first part of the study is to train the model using the financial ratios in the financial statements. The model’s early warning ability and how it is affected by the input data can be analyzed. The second part is to check the tracks of financial ratios of the distressed companies over a three year period. In this way we can really observe the financial performance of these distressed companies going from bad to worse in three years. Although much to be done, the results of this study show that the SOM model can achieve the purpose for visualized warning of problem companies in advance.