A Study of Stock Select Decision Support Using Technical Indicators
碩士 === 國立屏東技術學院 === 資訊管理技術研究所 === 85 === Title of Thesis: A Study of Stock Decision Support Using Technical Indicators Name of Institute: Graduate Institute of Management Information Systems, National Pingtung Polyt...
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ndltd-TW-085NPUST3960092015-10-13T18:05:28Z http://ndltd.ncl.edu.tw/handle/74737094192381839839 A Study of Stock Select Decision Support Using Technical Indicators 股票選股決策支援之探討--以技術指標為例 Liu, Ming-Zong 劉民宗 碩士 國立屏東技術學院 資訊管理技術研究所 85 Title of Thesis: A Study of Stock Decision Support Using Technical Indicators Name of Institute: Graduate Institute of Management Information Systems, National Pingtung Polytechnic Institute. Graduate Date: June,1997 Degree Conferred: Master Pages: 119 Name of Student: Ming-Zong Liu Advisor: Dr. Ray J. Tsai Abstract It is important for investors to search for a means to select profitable stocks. This study uses the selected stock decisive rules which are based on the technical indicators to simulate the Taiwanese stocks transactions. The sample of this study consists of 349 stocks in Taiwan Stock Exchange(TSE) from Jan. 1987 to Dec. 1996. In this simulating period , the annual rates of return by using trading decision supports generated by the proposed model are higher than that of TSEWPI( Taiwan Stock Exchange Weighted Price Index). The results of the study are also better than those of using Citizens Securities Investment Trust Fund , fundamental analysis , neural network. If the leading stocks are very strong , the results of using proposed model can be better than the results of using TSEWPI . The decision model of the study not only can help making a better decision but also can be more efficient than any other indicators in a stock selection process . Key word: selected stock , decision support , technical indicator , fundamental Ray J. Tsai 蔡瑞明 1997 學位論文 ; thesis 119 zh-TW |
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碩士 === 國立屏東技術學院 === 資訊管理技術研究所 === 85 === Title of Thesis: A Study of Stock Decision Support Using
Technical Indicators
Name of Institute: Graduate Institute of Management Information
Systems, National Pingtung Polytechnic Institute.
Graduate Date: June,1997 Degree Conferred: Master Pages: 119
Name of Student: Ming-Zong Liu Advisor: Dr. Ray J. Tsai
Abstract
It is important for investors to search for a means to select
profitable stocks. This study uses the selected stock
decisive rules which are based on the technical indicators to
simulate the Taiwanese stocks transactions. The sample of
this study consists of 349 stocks in Taiwan Stock Exchange(TSE)
from Jan. 1987 to Dec. 1996. In this simulating period ,
the annual rates of return by using trading decision
supports generated by the proposed model are higher than
that of TSEWPI( Taiwan Stock Exchange Weighted Price Index). The
results of the study are also better than those of using
Citizens Securities Investment Trust Fund , fundamental
analysis , neural network. If the leading stocks are very
strong , the results of using proposed model can be better than
the results of using TSEWPI . The decision model of the study
not only can help making a better decision but also can
be more efficient than any other indicators in a stock
selection process . Key
word: selected stock , decision support , technical indicator ,
fundamental
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author2 |
Ray J. Tsai |
author_facet |
Ray J. Tsai Liu, Ming-Zong 劉民宗 |
author |
Liu, Ming-Zong 劉民宗 |
spellingShingle |
Liu, Ming-Zong 劉民宗 A Study of Stock Select Decision Support Using Technical Indicators |
author_sort |
Liu, Ming-Zong |
title |
A Study of Stock Select Decision Support Using Technical Indicators |
title_short |
A Study of Stock Select Decision Support Using Technical Indicators |
title_full |
A Study of Stock Select Decision Support Using Technical Indicators |
title_fullStr |
A Study of Stock Select Decision Support Using Technical Indicators |
title_full_unstemmed |
A Study of Stock Select Decision Support Using Technical Indicators |
title_sort |
study of stock select decision support using technical indicators |
publishDate |
1997 |
url |
http://ndltd.ncl.edu.tw/handle/74737094192381839839 |
work_keys_str_mv |
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