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

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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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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spelling ndltd-TW-085CYIT03040022015-10-13T12:15:15Z http://ndltd.ncl.edu.tw/handle/35155449813970029417 Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network. 運用財務比率建構新銀行經營型態分類模式-類神經網路之應用 Yeh, Che Cheng 葉哲政 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. Ho Wen-Rong 何文榮 --- 1997 學位論文 ; thesis 95 zh-TW
collection NDLTD
language zh-TW
format Others
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description 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.
author2 Ho Wen-Rong
author_facet Ho Wen-Rong
Yeh, Che Cheng
葉哲政
author Yeh, Che Cheng
葉哲政
spellingShingle Yeh, Che Cheng
葉哲政
Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network.
author_sort Yeh, Che Cheng
title Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network.
title_short Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network.
title_full Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network.
title_fullStr Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network.
title_full_unstemmed Using Financial Ratios to Distinguish Different business type in the Commerical Banking Industry And An Application of Artificial Neural Network.
title_sort using financial ratios to distinguish different business type in the commerical banking industry and an application of artificial neural network.
publishDate 1997
url http://ndltd.ncl.edu.tw/handle/35155449813970029417
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