Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network.

碩士 === 朝陽技術學院 === 財務金融系所研究所 === 85 === To understand the business performance of the new commercial banking industry in Taiwan.We tried to distinguish forth business type in all new commercial b anking industry.According to various risk and return in all new banks.We h...

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Bibliographic Details
Main Authors: Yeh, Che Cheng, 葉哲政
Other Authors: Ho Wen-Rong
Format: Others
Language:zh-TW
Published: 1997
Online Access:http://ndltd.ncl.edu.tw/handle/35155449813970029417
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Summary:碩士 === 朝陽技術學院 === 財務金融系所研究所 === 85 === To understand the business performance of the new commercial banking industry in Taiwan.We tried to distinguish forth business type in all new commercial b anking industry.According to various risk and return in all new banks.We have produced forth business type.For example ,higher risk and higher return ,lower risk and higher return,lower risk and lower return ,higher risk and lower ret urn.In this paper ,we used Factor Analysis,TOPSIS approach and Artificial Neural Network.In reserch,we get the error rate of 2.128% and the error rate of 12.5% in Artificial Neural Network. And if we just used single financial ratios to distinguish various business type,the ratio of overdue loan and ROE were our best choice.