Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === A stock index consists of a board selection of stocks. Stylized facts show non-linear correlations exist between stock prices. Therefore, predicting the direction of an index involves modeling and analyzing sophisticated multi-dimensional time series. We employ...

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Main Authors: Yi-Ke Huang, 黃奕軻
Other Authors: Yuh-Dauh Lyuu
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/3jp762
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spelling ndltd-TW-106NTU053921222019-06-27T05:28:56Z http://ndltd.ncl.edu.tw/handle/3jp762 Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices 上市個股預測台灣加權指數高頻趨勢 Yi-Ke Huang 黃奕軻 碩士 國立臺灣大學 資訊工程學研究所 106 A stock index consists of a board selection of stocks. Stylized facts show non-linear correlations exist between stock prices. Therefore, predicting the direction of an index involves modeling and analyzing sophisticated multi-dimensional time series. We employ the convolutional neural network to forecast the intra-day price movement of the Taiwan Stock Exchange Weighted Index (TAIEX). Furthermore, we verify the prediction performance of our model on the high-frequency data (5 sec) of the TAIEX and its constituent share prices from 2015 to 2017. Yuh-Dauh Lyuu 呂育道 2018 學位論文 ; thesis 25 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === A stock index consists of a board selection of stocks. Stylized facts show non-linear correlations exist between stock prices. Therefore, predicting the direction of an index involves modeling and analyzing sophisticated multi-dimensional time series. We employ the convolutional neural network to forecast the intra-day price movement of the Taiwan Stock Exchange Weighted Index (TAIEX). Furthermore, we verify the prediction performance of our model on the high-frequency data (5 sec) of the TAIEX and its constituent share prices from 2015 to 2017.
author2 Yuh-Dauh Lyuu
author_facet Yuh-Dauh Lyuu
Yi-Ke Huang
黃奕軻
author Yi-Ke Huang
黃奕軻
spellingShingle Yi-Ke Huang
黃奕軻
Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices
author_sort Yi-Ke Huang
title Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices
title_short Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices
title_full Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices
title_fullStr Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices
title_full_unstemmed Prediction of Short-Term Trends of TAIEX via Its High-Frequency Constituent Share Prices
title_sort prediction of short-term trends of taiex via its high-frequency constituent share prices
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/3jp762
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