Publications-Theses

題名 日內技術交易系統之獲利性研究
The profitability of intra-day technical trading systems in Taiwan futures market:Taiwan stock exchange capitalization weighted stock index
作者 郭修誠
貢獻者 郭維裕
郭修誠
關鍵詞 日內交易系統
Intraday
Technical trading systems
日期 2008
上傳時間 18-Sep-2009 20:00:18 (UTC+8)
摘要 這篇文章主要是利用三種交易系統測試 2003 年台灣股價加權指數期
貨的日內資料:移動平均穿越法、賽塔支撐壓力策略、K-D 隨機指標。
站在當沖者的觀點測試歷史資料的表現,並分別建立停損與停利點控
制交易中所發生的損失與利得。研究結果發現,在調整交易成本後,
順勢系統的表現的確可以獲得顯著的利潤且多頭的利潤多於空頭;而
逆勢系統則無法獲得顯著的利潤。
This paper tests three kinds of trading strategies: two of them are momentum strategies-MA, Support and Resistance and the other is contrarian strategy - Stochastic Indicator by utilizing the futures contracts on Taiwan Stock Exchange Capitalization Weighted Stock Index in 2003. We test their historical performances of these three strategies in view of the day traders who must close out their positions before the closing in every single trading day. In addition, we combine each of these rules with the so called stop-loss-point and take-profit-point to control our gains and loss on the positions. For the momentum
strategies, the results suggest that the returns following buy signals are higher than following sell signals. For contrarian strategy, there is no evidence that the returns are positive across all rules. In sum, our results reveal that it still has the possible to gain significant profits in the futures market for the day traders, even after adjusting the transaction costs.
參考文獻 Carol O., 2000, Support for resistance: Technical analysis and intraday exchange rates,
FRBNY Economic Policy Review, 53-68.
Christian L. D., and Jia M., 2004, Optimal trading frequency for active asset
management: Evidence from technical trading rules, Journal of Asset Management, 5,
5, 305-326.
Fama, E. F. and Blume, M. E., 1986, Filter rules and stock market trading. Journal of
Business, 39, 226-241.
Fama, E.F., 1970, Efficient capital markets: A review of theory and empirical work.
Journal of Finance, 25, 383-417.
Ki Y. K., and Richard J. K., 2002, Technical trading strategies and return
predictability: NYSE, Applied Finance Economics, 12, 639-653.
Lars K., 2003, Quantitative trading strategies: Harnessing the power of quantitative
techniques to create a wining trading program, Copyright by McGraw-Hill, Inc.
Leuthold, R.M., 1972, Random walk and price trends: The live cattle futures market,
Journal of Finance, 27, 879-889.
Norbert F., and Ronald M., 1999, Technical analysis in foreign exchange market: A
cointegration-based approach, Mutinational Finance Journal, 3, 3, 147-172.
Robert A.W., Thomas H.M., and Keith O., 1985, An investigation of transactions data
for NYSE stocks. Journal of Finance, 40, 3.
Sweeney, R. J., 1998, Beating the foreign exchange market. Journal of Finance, 41,
163-182.
Taeksoo S., and Ingoo H., 2000, A hybrid system using multiple cyclic decomposition
methods and neural network techniques for point forecast decision making, The 33rd
Hawaii International Conference on System Sciences.
Wai M.F., and Lawrence H.M.Y., 2004, Chasing trends: recursive moving average trading rules and internet stocks, Journal of Empirical Finance, 12, 43-76.
Wang, G.H.K., J. Yau, and T. Baptiste, 1997, Trading volume and transaction costs in
futures markets, Journal of Futures Markets, 17, 757-780.
William B., Josef L., and Blake L, 1992, Simple technical trading rules and the
stochastic properties of stock returns. Journal of Finance, 7, 5, 1731-1764.
描述 碩士
國立政治大學
國際經營與貿易研究所
96351024
97
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0096351024
資料類型 thesis
dc.contributor.advisor 郭維裕zh_TW
dc.contributor.author (Authors) 郭修誠zh_TW
dc.creator (作者) 郭修誠zh_TW
dc.date (日期) 2008en_US
dc.date.accessioned 18-Sep-2009 20:00:18 (UTC+8)-
dc.date.available 18-Sep-2009 20:00:18 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2009 20:00:18 (UTC+8)-
dc.identifier (Other Identifiers) G0096351024en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/36874-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 國際經營與貿易研究所zh_TW
dc.description (描述) 96351024zh_TW
dc.description (描述) 97zh_TW
dc.description.abstract (摘要) 這篇文章主要是利用三種交易系統測試 2003 年台灣股價加權指數期
貨的日內資料:移動平均穿越法、賽塔支撐壓力策略、K-D 隨機指標。
站在當沖者的觀點測試歷史資料的表現,並分別建立停損與停利點控
制交易中所發生的損失與利得。研究結果發現,在調整交易成本後,
順勢系統的表現的確可以獲得顯著的利潤且多頭的利潤多於空頭;而
逆勢系統則無法獲得顯著的利潤。
zh_TW
dc.description.abstract (摘要) This paper tests three kinds of trading strategies: two of them are momentum strategies-MA, Support and Resistance and the other is contrarian strategy - Stochastic Indicator by utilizing the futures contracts on Taiwan Stock Exchange Capitalization Weighted Stock Index in 2003. We test their historical performances of these three strategies in view of the day traders who must close out their positions before the closing in every single trading day. In addition, we combine each of these rules with the so called stop-loss-point and take-profit-point to control our gains and loss on the positions. For the momentum
strategies, the results suggest that the returns following buy signals are higher than following sell signals. For contrarian strategy, there is no evidence that the returns are positive across all rules. In sum, our results reveal that it still has the possible to gain significant profits in the futures market for the day traders, even after adjusting the transaction costs.
en_US
dc.description.tableofcontents Contents
Introduction………………………………………………………….…………........1
Methodology and Data……………………………………………………………...5
Data Sources………………………………………………………………………….5
Technical Trading Rules……………………………………………………………...5
Transaction Costs…………………………………………………………………….9
Performance Measures………………………………………………………………10
Benchmark Strategies……………………………………………………………......10
Statistical Test and Assumptions…………………………………………………….12
Empirical Results………………………………………………………………...... 13
Sample Statistics……………………………………………………………………...13
Moving Averages……………………………………………………………………14
K-D Stochastic Indicator…………………………………………………………………..15
Saitta’s Support and Resistance Strategy………………………………………......16
Conclusion…………………………………………………………………………..17
References…………………………………………………………………………... 18
Tables………………………………………………………………………………..20
zh_TW
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0096351024en_US
dc.subject (關鍵詞) 日內交易系統zh_TW
dc.subject (關鍵詞) Intradayen_US
dc.subject (關鍵詞) Technical trading systemsen_US
dc.title (題名) 日內技術交易系統之獲利性研究zh_TW
dc.title (題名) The profitability of intra-day technical trading systems in Taiwan futures market:Taiwan stock exchange capitalization weighted stock indexen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Carol O., 2000, Support for resistance: Technical analysis and intraday exchange rates,zh_TW
dc.relation.reference (參考文獻) FRBNY Economic Policy Review, 53-68.zh_TW
dc.relation.reference (參考文獻) Christian L. D., and Jia M., 2004, Optimal trading frequency for active assetzh_TW
dc.relation.reference (參考文獻) management: Evidence from technical trading rules, Journal of Asset Management, 5,zh_TW
dc.relation.reference (參考文獻) 5, 305-326.zh_TW
dc.relation.reference (參考文獻) Fama, E. F. and Blume, M. E., 1986, Filter rules and stock market trading. Journal ofzh_TW
dc.relation.reference (參考文獻) Business, 39, 226-241.zh_TW
dc.relation.reference (參考文獻) Fama, E.F., 1970, Efficient capital markets: A review of theory and empirical work.zh_TW
dc.relation.reference (參考文獻) Journal of Finance, 25, 383-417.zh_TW
dc.relation.reference (參考文獻) Ki Y. K., and Richard J. K., 2002, Technical trading strategies and returnzh_TW
dc.relation.reference (參考文獻) predictability: NYSE, Applied Finance Economics, 12, 639-653.zh_TW
dc.relation.reference (參考文獻) Lars K., 2003, Quantitative trading strategies: Harnessing the power of quantitativezh_TW
dc.relation.reference (參考文獻) techniques to create a wining trading program, Copyright by McGraw-Hill, Inc.zh_TW
dc.relation.reference (參考文獻) Leuthold, R.M., 1972, Random walk and price trends: The live cattle futures market,zh_TW
dc.relation.reference (參考文獻) Journal of Finance, 27, 879-889.zh_TW
dc.relation.reference (參考文獻) Norbert F., and Ronald M., 1999, Technical analysis in foreign exchange market: Azh_TW
dc.relation.reference (參考文獻) cointegration-based approach, Mutinational Finance Journal, 3, 3, 147-172.zh_TW
dc.relation.reference (參考文獻) Robert A.W., Thomas H.M., and Keith O., 1985, An investigation of transactions datazh_TW
dc.relation.reference (參考文獻) for NYSE stocks. Journal of Finance, 40, 3.zh_TW
dc.relation.reference (參考文獻) Sweeney, R. J., 1998, Beating the foreign exchange market. Journal of Finance, 41,zh_TW
dc.relation.reference (參考文獻) 163-182.zh_TW
dc.relation.reference (參考文獻) Taeksoo S., and Ingoo H., 2000, A hybrid system using multiple cyclic decompositionzh_TW
dc.relation.reference (參考文獻) methods and neural network techniques for point forecast decision making, The 33rdzh_TW
dc.relation.reference (參考文獻) Hawaii International Conference on System Sciences.zh_TW
dc.relation.reference (參考文獻) Wai M.F., and Lawrence H.M.Y., 2004, Chasing trends: recursive moving average trading rules and internet stocks, Journal of Empirical Finance, 12, 43-76.zh_TW
dc.relation.reference (參考文獻) Wang, G.H.K., J. Yau, and T. Baptiste, 1997, Trading volume and transaction costs inzh_TW
dc.relation.reference (參考文獻) futures markets, Journal of Futures Markets, 17, 757-780.zh_TW
dc.relation.reference (參考文獻) William B., Josef L., and Blake L, 1992, Simple technical trading rules and thezh_TW
dc.relation.reference (參考文獻) stochastic properties of stock returns. Journal of Finance, 7, 5, 1731-1764.zh_TW