Use legal public investment information on the transaction strategy research
碩士 === 國立東華大學 === 資訊管理碩士學位學程 === 100 === It is difficult for general investor to grasp technical analysis and fundamental analysis, so that a lot of investors may use media, financial web page or newspaper and magazines to get analyst’s recommend to operate it, among of these analysis informatio...
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ndltd-TW-100NDHU53960142018-05-02T16:20:04Z http://ndltd.ncl.edu.tw/handle/n2c8b2 Use legal public investment information on the transaction strategy research 以法人研究機構公開預測資訊於交易策略建構之研究 Yi-Chen Tsai 蔡易辰 碩士 國立東華大學 資訊管理碩士學位學程 100 It is difficult for general investor to grasp technical analysis and fundamental analysis, so that a lot of investors may use media, financial web page or newspaper and magazines to get analyst’s recommend to operate it, among of these analysis information, target price information is easier to use, so that this study may use udndata’s juristic person forcast target price to become object experience and use it develope invest strategy. This study experience time from 2006 January 2 to 2011 December 31, and use early 2011 market capitalization first one hundred stocks intersection with early 2009 to 2011 three years highest price first one hundred stocks, and choose 9 stocks which have more data from intersection data to plane transaction strategy, and carry out timing and capital allocation, and collocate genetic algorithm GA and portfolio insurance TIPP to do the experiment. The results indicate that this study’s transaction strategy collocate GA and TIPP make a profit performance is 225.05%, it’s better than same period 9 stocks buy and hold’s capital and interest is 113.6%, it founds that juristic person research institutional forecast target price are effective and can be used. Jia-Li Hou 侯佳利 2012 學位論文 ; thesis 86 |
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碩士 === 國立東華大學 === 資訊管理碩士學位學程 === 100 === It is difficult for general investor to grasp technical analysis and fundamental analysis, so that a lot of investors may use media, financial web page or newspaper and magazines to get analyst’s recommend to operate it, among of these analysis information, target price information is easier to use, so that this study may use udndata’s juristic person forcast target price to become object experience and use it develope invest strategy.
This study experience time from 2006 January 2 to 2011 December 31, and use early 2011 market capitalization first one hundred stocks intersection with early 2009 to 2011 three years highest price first one hundred stocks, and choose 9 stocks which have more data from intersection data to plane transaction strategy, and carry out timing and capital allocation, and collocate genetic algorithm GA and portfolio insurance TIPP to do the experiment.
The results indicate that this study’s transaction strategy collocate GA and TIPP make a profit performance is 225.05%, it’s better than same period 9 stocks buy and hold’s capital and interest is 113.6%, it founds that juristic person research institutional forecast target price are effective and can be used.
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author2 |
Jia-Li Hou |
author_facet |
Jia-Li Hou Yi-Chen Tsai 蔡易辰 |
author |
Yi-Chen Tsai 蔡易辰 |
spellingShingle |
Yi-Chen Tsai 蔡易辰 Use legal public investment information on the transaction strategy research |
author_sort |
Yi-Chen Tsai |
title |
Use legal public investment information on the transaction strategy research |
title_short |
Use legal public investment information on the transaction strategy research |
title_full |
Use legal public investment information on the transaction strategy research |
title_fullStr |
Use legal public investment information on the transaction strategy research |
title_full_unstemmed |
Use legal public investment information on the transaction strategy research |
title_sort |
use legal public investment information on the transaction strategy research |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/n2c8b2 |
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AT yichentsai uselegalpublicinvestmentinformationonthetransactionstrategyresearch AT càiyìchén uselegalpublicinvestmentinformationonthetransactionstrategyresearch AT yichentsai yǐfǎrényánjiūjīgòugōngkāiyùcèzīxùnyújiāoyìcèlüèjiàngòuzhīyánjiū AT càiyìchén yǐfǎrényánjiūjīgòugōngkāiyùcèzīxùnyújiāoyìcèlüèjiàngòuzhīyánjiū |
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