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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/9m373x |
id |
ndltd-TW-102NTUS5304041 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
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 |
work_keys_str_mv |
AT chiamaowu predictingpricechangeoftaiexfuturesbyusingpublicinformationofmarketapplicationofsurvivalanalysis AT wújiāmào predictingpricechangeoftaiexfuturesbyusingpublicinformationofmarketapplicationofsurvivalanalysis AT chiamaowu lìyònggōngkāishìchǎngzīxùnyùcètáiwānjiāquángǔpiàozhǐshùqīhuòzhǎngdiēzhīyánjiūcúnhuófēnxīzhīyīngyòng AT wújiāmào lìyònggōngkāishìchǎngzīxùnyùcètáiwānjiāquángǔpiàozhǐshùqīhuòzhǎngdiēzhīyánjiūcúnhuófēnxīzhīyīngyòng |
_version_ |
1719117037574291456 |