Stock Return Risk, Censoring and the Effectiveness of Technical Indicators

碩士 === 國立高雄第一科技大學 === 金融營運所 === 90 === ABSTRACT 英文摘要 This thesis primary discusses the performance of technical indicator by way of simulation stock transaction, and tries to find out which technical indicators to gain the maximum profit.This study that based on Bollerslev (1986) developed a new ti...

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Main Authors: Cheng-Peng Chang, 張正鵬
Other Authors: Po-Chin Wu
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/54116994014645616536
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spelling ndltd-TW-090NKIT56670282015-10-13T10:21:17Z http://ndltd.ncl.edu.tw/handle/54116994014645616536 Stock Return Risk, Censoring and the Effectiveness of Technical Indicators 股價報酬率風險、低振幅比率與技術指標之有效性分析 Cheng-Peng Chang 張正鵬 碩士 國立高雄第一科技大學 金融營運所 90 ABSTRACT 英文摘要 This thesis primary discusses the performance of technical indicator by way of simulation stock transaction, and tries to find out which technical indicators to gain the maximum profit.This study that based on Bollerslev (1986) developed a new time series model called Gerneral Autoregressive Conditional Heteroscedasticity (GARCH), and in order to estimate the risk of the stock return , we use GARCH(1,1) model. By price return risk and censoring degree , they are divided into three attributes: high , medium and low. The research consequence are concluded as following : 1.ARCH and GARCH effect of stock price volatility is significant in Taiwan stock market. 2.The degree of the censoring of the stocks feature is on different proportion to its risk. 3.The lower the market value of our sample is , the lower censoring and greater trading volume are. 4.The higher the market value is , the lower the stock return risk is , and the lower the stock return risk is, the higher the rate of the censoring is. 5.The group of the high risk stocks is more suitable for medium or long run technical indicators to judge the point of transaction , and MACD is more useful than KD ; and the weekly MACD is applied to the group of the medium risk ones ; the daily MACD is applied to the group of the medium risk ones. 6.The group of the low rate censoring is better judged transaction point by medium or long run technical indicators ; it is better to be applied to weekly KD for the group of the medium ones ; as to the group of the high ones , it is applied to daily MACD. 7.It is more effective to judge the point of the transaction by mix technical indicators (long , medium and short run) than by daily technical indicator. Po-Chin Wu Andy Chien 吳博欽 菅瑞昌 2002 學位論文 ; thesis 86 zh-TW
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language zh-TW
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description 碩士 === 國立高雄第一科技大學 === 金融營運所 === 90 === ABSTRACT 英文摘要 This thesis primary discusses the performance of technical indicator by way of simulation stock transaction, and tries to find out which technical indicators to gain the maximum profit.This study that based on Bollerslev (1986) developed a new time series model called Gerneral Autoregressive Conditional Heteroscedasticity (GARCH), and in order to estimate the risk of the stock return , we use GARCH(1,1) model. By price return risk and censoring degree , they are divided into three attributes: high , medium and low. The research consequence are concluded as following : 1.ARCH and GARCH effect of stock price volatility is significant in Taiwan stock market. 2.The degree of the censoring of the stocks feature is on different proportion to its risk. 3.The lower the market value of our sample is , the lower censoring and greater trading volume are. 4.The higher the market value is , the lower the stock return risk is , and the lower the stock return risk is, the higher the rate of the censoring is. 5.The group of the high risk stocks is more suitable for medium or long run technical indicators to judge the point of transaction , and MACD is more useful than KD ; and the weekly MACD is applied to the group of the medium risk ones ; the daily MACD is applied to the group of the medium risk ones. 6.The group of the low rate censoring is better judged transaction point by medium or long run technical indicators ; it is better to be applied to weekly KD for the group of the medium ones ; as to the group of the high ones , it is applied to daily MACD. 7.It is more effective to judge the point of the transaction by mix technical indicators (long , medium and short run) than by daily technical indicator.
author2 Po-Chin Wu
author_facet Po-Chin Wu
Cheng-Peng Chang
張正鵬
author Cheng-Peng Chang
張正鵬
spellingShingle Cheng-Peng Chang
張正鵬
Stock Return Risk, Censoring and the Effectiveness of Technical Indicators
author_sort Cheng-Peng Chang
title Stock Return Risk, Censoring and the Effectiveness of Technical Indicators
title_short Stock Return Risk, Censoring and the Effectiveness of Technical Indicators
title_full Stock Return Risk, Censoring and the Effectiveness of Technical Indicators
title_fullStr Stock Return Risk, Censoring and the Effectiveness of Technical Indicators
title_full_unstemmed Stock Return Risk, Censoring and the Effectiveness of Technical Indicators
title_sort stock return risk, censoring and the effectiveness of technical indicators
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/54116994014645616536
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