Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis

碩士 === 國立臺灣科技大學 === 財務金融研究所 === 102 === Due to the small size of market in Taiwan, literature confirmed that institutional investments affect the market. The study is to use the daily public information provided by mass media and to apply survival analysis to forecast the price change of TAIEX Futur...

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Main Authors: Chia-mao Wu, 吳佳懋
Other Authors: none
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/9m373x
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spelling ndltd-TW-102NTUS53040412019-05-15T21:42:03Z http://ndltd.ncl.edu.tw/handle/9m373x Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis 利用公開市場資訊預測台灣加權股票指數期貨漲跌之研究—存活分析之應用 Chia-mao Wu 吳佳懋 碩士 國立臺灣科技大學 財務金融研究所 102 Due to the small size of market in Taiwan, literature confirmed that institutional investments affect the market. The study is to use the daily public information provided by mass media and to apply survival analysis to forecast the price change of TAIEX Futures. The sample period covers from 2009 to 2012. Empirical results indicate that : (1)The significant variables in the model of predicting the rising price are return of TAIEX, the growth of volume in Dealers net buy or sell price, the growth of basis and the growth rate of S&;P500. The percentage of correctness is 74.47% and the average return in the performance price is 35.73. (2)The significant variables in the model of predicting the falling price are the net daily trading volume of Foreign Investor, the growth of Dealer net daily trading volume, VOX, the growth of basis, SIMEX index futures and the growth rate of SIMEX index futures. The percentage of correctness is 75.32% and the average return in the performance price is 37.99. none 陳俊男 2014 學位論文 ; thesis 49 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣科技大學 === 財務金融研究所 === 102 === Due to the small size of market in Taiwan, literature confirmed that institutional investments affect the market. The study is to use the daily public information provided by mass media and to apply survival analysis to forecast the price change of TAIEX Futures. The sample period covers from 2009 to 2012. Empirical results indicate that : (1)The significant variables in the model of predicting the rising price are return of TAIEX, the growth of volume in Dealers net buy or sell price, the growth of basis and the growth rate of S&;P500. The percentage of correctness is 74.47% and the average return in the performance price is 35.73. (2)The significant variables in the model of predicting the falling price are the net daily trading volume of Foreign Investor, the growth of Dealer net daily trading volume, VOX, the growth of basis, SIMEX index futures and the growth rate of SIMEX index futures. The percentage of correctness is 75.32% and the average return in the performance price is 37.99.
author2 none
author_facet none
Chia-mao Wu
吳佳懋
author Chia-mao Wu
吳佳懋
spellingShingle Chia-mao Wu
吳佳懋
Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis
author_sort Chia-mao Wu
title Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis
title_short Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis
title_full Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis
title_fullStr Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis
title_full_unstemmed Predicting Price Change of TAIEX Futures by Using Public Information of Market – Application of Survival Analysis
title_sort predicting price change of taiex futures by using public information of market – application of survival analysis
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/9m373x
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