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題名 遺傳規劃應用於國際金融巿場交易策略之研究
作者 許江妹
Hoi , Kong Mui
貢獻者 陳樹衡
Chen, Shu-Heng
許江妹
Hoi , Kong Mui
關鍵詞 遺傳規劃
技術分析
金融巿場
交易策略
Genetic Programming
Technical analysis
Finance Market
Trading strategy
日期 2005
上傳時間 14-九月-2009 13:34:00 (UTC+8)
摘要 本文應用遺傳規劃交易程式來檢驗八個國家的股票指數和外匯巿場的表現,採用移動視窗的方法,測試三組獨立的期間,重新檢驗較早期的研究結果,並繼續延申探討,包括交易報酬與交易行為。實證結果顯示,不論在股票還是外匯巿場,若訓練期間的資料選擇不當,遺傳規劃的獲利表現會不理想。資料形態不但會影響遺傳規劃交易程式的獲利性,同時也決定了程式本身的一些觀察特性。我們另外分析了交易程式的複雜度、演化時間、交易頻率和一致性。交易程式的複雜度和演化時間有正向的相關性,但複雜度和報酬、以及演化時間和報酬之間都只有很弱的關係。這些發現可以讓我們更了解遺傳規劃演化交易策略的過程,有助往後更進一步的研究。
參考文獻 Alexander S.S. (1964), "Price Movements in Speculative Markets: Trends or Random Walks," P. Cootner, (ed.) The Random Character of Stock Market Prices, MIT Press, Cambridge, Mass, Vol. 2, pp. 338-372.
Allen, F., and R. Karjalainen (1999), "Using genetic algorithms to find technical trading rules," Journal of Financial Economics, Vol. 51, pp. 245-271.
Bessembinder, H., and K. Chan (1995), "The profitability of technical trading rules in the asian stock markets."
Pacific Basin Finance Journal, Vol. 3, pp. 257-284.
Bessembinder, H., and K. Chan (1998), "Market Efficiency and the Return of Technical Analysis," Financial
Management, Vol. 27, pp. 5-17.
Bhattacharyya, S., O. V. Pictet, and G. Zumbach (2002), "Knowledge-Intensive Genetic Discovery in Foreign Exchange
Markets," IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 169-181.
Brock, W., J. Lakonishok, and B. LeBaron (1992), "Simple Technical Trading Rules and the Stochastic Properties of
Stock Returns," Journal of Finance, Vol. 47, pp. 1731-1764.
Brown, S., Goetzmann W. and Kumar A. (1998), "The Dow Theory: William Peter
Hamilton`s Track Record Reconsidered," Journal of Finance, Vol. 534, No. 4, pp. 1311-1333.
Chang, P. H. and C. L Osler (1999), "Methodical Madness: Technical Analysis and the Irrationality of Exchange-rate
Forecasts," Economic Journal, 109, pp. 636-661.
Chen, S.-H. (1998), "Modeling Volatility with Genetic Programming: A First
Report,`` {\\em Neural Network World, Vol. 8, No. 2, pp. 181-190.
Chen, S.-H. (2001), "On the Relevance of Genetic Programming in Evolutionary Economics,``
in K. Aruka (ed.), {\\em Evolutionary Controversy in Economics towards a New Method in Preference of Trans
Discipline, Springer-Verlag, Tokyo, pp. 135-150.
Chen, S.-H. and B.-T. Chie (2005), "A Functional Modularity Approach to Agent-based Modeling of the
Evolution of Technology,`` in A. Namatame, T. Kaizouji, and Y. Aruka. (eds.), {\\em Economics and Heterogeneous
Interacting Agents, Springer, forthcoming.
Chen, S.-H., and T.-W. Kuo (2001), "Trading Strategies on Trial:
A Comprehensive Review of 21 Practical Trading Strategies Over 56 Listed Stocks,``
in {\\em Proceedings of the Fourth International Conference on
Computational Intelligence and Multimedia Applications (ICCIMA 2001),
IEEE Computer Society Press, pp. 66-71.
Chen, S.-H., and T.-W. Kuo (2003a), "Discovering Hidden Patterns with Genetic Programming,`` in
S.-H. Chen and P. P. Wang (ed.), {\\em Computational Intelligence in Economics and
Finance, Springer-Verlag, pp. 329-347.
Chen, S.-H., and T.-W. Kuo (2003b), "Modeling International Short-Term Capital Flow with Genetic Programming,`` in
K. Chen, et al. (eds.), {\\em Proceedings of 7th Information Sciences ({\\bf JCIS 2003), September 26-30, 2003, Cary,
North Carolina, U.S.A., pp. 1140-1144.
Chen, S.-H., and T.-W. Kuo (2003c), "Overfitting or Poor Learning: A Critique of Current Financial Applications of
GP,`` in C. Ryan, T. Soule, M. Keijzer, E. Tsang, R. Poli, and E. Costa (eds.), {\\em Genetic Programming, Lecture Notes
in Computer Science 2610, Springer, pp. 34-46.
Chen, S.-H., T.-W. Kuo, Y.-P. Shien (2002), "Genetic Programming: A Tutorial with the Software Simple GP,``
in S.-H. Chen (ed.), {\\em Genetic Algorithms and Genetic Programming in Computational Finance, Kluwer, 2002, pp. 55-77.
Cooper, Michael (1999), "Filter rules based on price and volume in individual security overreaction," The Review
of Financial Studies, Vol. 12, pp. 901-935.
Coutts, J. A., and K. C. Cheung (2000), "Trading Rules and Stock Returns : Some Preliminary Short Run Evidence from The Hang Seng 1985-1997," Applied Financial Economic, Vol. 10, No. 6, pp. 579-586.
Fama, E. F. (1970), "Efficient capital markets: a review of theory and empirical work," Journal of
Finance, Vol. 25, pp. 383-417.
Fama, E. F., and M. E. Blume (1966), "Filter Rules and Stock Market Trading Profits," Journal of Business, Vol. 39, pp.
226-241.
Fang, Y. and Xu, D. (2003), "The predictability of asset returns: and approach combining technical analysis and time series forecasts," International Journal of Forecasting , Vol. 19, pp. 369-385.
Granville, Joseph E. (1976), New Strategy of Daily Stock Market Timing for Maximun Profit, Englewood Cliffs:
Prentice-hall Inc.
Holland, J. (1975), Adaptation in Natural and Artificial System, University of Michigan Press.
Jensen, M. C., and G. Bennington (1970), "Random Walks and Technical Theories: Some Additional Evidences,"
Journal of Finance, Vol. 25, pp. 469-482.
Koza, J. (1992), Genetic Programming, Cambridge, MA: MIT Press.
Koza, J. (1995 ), "Survey of genetic algorithms and genetic programming," WESCON `95, Conference record,
Microelectronics Communications Technology Producing Quality Products Mobile and Portable Power Emerging Technologies, pp. 589-594.
Lanquillon, C. (1999), "Dynamic Aspects in Neural Classification,`` {\\em Journal of Intelligent Systems in
Accounting, Finance and Management, Vol. 8, No. 4, pp. 281-296.
Levich, R. M., and L. R. Thomas (1993), "The significance of technical trading-rule profits in the foreign exchange
market:
A bootstrap approach,"
Journal of International Money and Finance, Vol. 12, pp. 451-474.
Neely C. J., Paul A. Weller, and R. Dittmar (1997), "Is Technical Analysis in Foreign Exchange Market Profitable? A Genetic Programming Approach, "
Journal of Financial and Quantitative Analysis, Vol. 32, pp. 405-426.
Neely C. J. and Paul A. Weller (1999), "Technical trading rules in the european monetary system," Jouranl of International Money and Finance, Vol. 18, No. 3 , pp. 429-458.
O`Neill, M., A. Brabazon, and C. Ryan (2002), "Forecasting Market Indices Using Evolutionary Automatic Programming,``
in S.-H. Chen (ed.), {\\em Genetic Algorithms and Genetic Programming in Computational Finance, Kluwer, pp. 175-195.
Pereira, R. (2002), "Forecasting Ability but No Profitability: An Empirical Evalaution of Genetic Algorithm-Optimised
Technical Trading Rules,`` in S.-H. Chen (2002) (ed.), {\\em Evolutionary Computation in Economics and Finance,
Physica-Verlag, pp. 287-310.
Potvin, J. Y., P. Soriano, M. Vallee (2004), "Generating trading rules on the stock markets with genetic
programming," Computers \\& Operations Research, Vol. 31, pp. 1033-1047.
Pruitt, S. W. and White, R. E. (1988), "The CRISMA Trading System: Who Says Technical Analysis can not
Beat the Market?" Journal of Portfolio Management, Vol. 14, pp. 55-58.
Sullivan, R., Timmermann, A., and White, H. (1999), " Data-snooping, technical trading rule performance, and the
bootstrap," Journal of Finance, Vol. 54, pp. 1647-1692.
Sweeney R. J. (1986), "Beating the foreign exchange market," Journal of Finance , Vol. 41, pp. 163-182.
Tsao, C.-Y. and S.-H. Chen (2004), "Statistical Analysis of Genetic Algorithms in Discovering Technical Trading Strategies,``
{\\em Advances in Econometrics, Vol. 17, pp. 1-43.
Wang, Jun (2000), "Trading and hedging in S\\&P 500 spot and futures markets using genetic programming, " The
Journal of Futures Markets, Vol. 20, pp. 911-942.
Yu, Tina, S-H Chen and T-W Kuo (2004a), "A Genetic Programming Approach to Model International Short-Term Capital Flow", Applications of Artificial Intelligence in Finance and Economics, Advances in Econometrics, Elsevier, Vol. 19, pp. 45-70.
Yu, Tina, S-H Chen and T-W Kuo (2004b), "Discovering Financial Technical Trading Rules Using Genetic Programming with Lambda
Abstraction," in U-M, O`Reilly, T. Yu, R. Riolo and B. Worzel (eds.), Genetic Programming Theory and Practice II, Springer, pp. 11-30.
描述 碩士
國立政治大學
經濟研究所
92258038
94
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0922580381
資料類型 thesis
dc.contributor.advisor 陳樹衡zh_TW
dc.contributor.advisor Chen, Shu-Hengen_US
dc.contributor.author (作者) 許江妹zh_TW
dc.contributor.author (作者) Hoi , Kong Muien_US
dc.creator (作者) 許江妹zh_TW
dc.creator (作者) Hoi , Kong Muien_US
dc.date (日期) 2005en_US
dc.date.accessioned 14-九月-2009 13:34:00 (UTC+8)-
dc.date.available 14-九月-2009 13:34:00 (UTC+8)-
dc.date.issued (上傳時間) 14-九月-2009 13:34:00 (UTC+8)-
dc.identifier (其他 識別碼) G0922580381en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/32279-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 經濟研究所zh_TW
dc.description (描述) 92258038zh_TW
dc.description (描述) 94zh_TW
dc.description.abstract (摘要) 本文應用遺傳規劃交易程式來檢驗八個國家的股票指數和外匯巿場的表現,採用移動視窗的方法,測試三組獨立的期間,重新檢驗較早期的研究結果,並繼續延申探討,包括交易報酬與交易行為。實證結果顯示,不論在股票還是外匯巿場,若訓練期間的資料選擇不當,遺傳規劃的獲利表現會不理想。資料形態不但會影響遺傳規劃交易程式的獲利性,同時也決定了程式本身的一些觀察特性。我們另外分析了交易程式的複雜度、演化時間、交易頻率和一致性。交易程式的複雜度和演化時間有正向的相關性,但複雜度和報酬、以及演化時間和報酬之間都只有很弱的關係。這些發現可以讓我們更了解遺傳規劃演化交易策略的過程,有助往後更進一步的研究。zh_TW
dc.description.tableofcontents 1 緒論 1
      1.1 研究動機與目的 1
      1.2 研究架構 3
     
     2 文獻探討 4
      2.1 技術分析 4
      2.2 傳統技術分析的相關文獻 5
      2.3 遺傳規劃技術分析的相關文獻 7
     
     3 遺傳規劃之交易策略模型 12
      3.1 遺傳規劃簡介 12
      3.2 參數設定 17
      3.3 股票巿場適應函數 21
      3.3.1 不可以融券的股票巿場適應函數 21
      3.3.2 可以融券的股票巿場適應函數 22
      3.4 外匯巿場適應函數 23
      3.5 交易成本 24
     
     4 股票巿場的利潤分析 25
      4.1 股票巿場資料處理 25
      4.2 遺傳規劃策略與買入持有策略 29
      4.2.1 遺傳規劃在不可以融券的巿場 29
      4.2.2 遺傳規劃在可以融券的巿場 31
      4.3 遺傳規劃策略與實際交易的技術指標 32
      4.4 另一種衡量的方法: 資產變化曲線 35
      4.5 其他參數的結果 38
      4.5.1 族群大小和演化代數 38
      4.5.2 原始資料與轉換後的資料 39
      4.5.3 確認期的效果 40
      4.5.4 交易成本 41
     
     5 外匯巿場的利潤分析 43
      5.1 外匯巿場資料處理 43
      5.2 外匯巿場短測試期的結果 44
      5.3 外匯巿場長測試期的結果 45
     
     6 策略分析 51
      6.1 隱藏資訊 51
      6.2 複雜度 55
      6.3 交易頻率 63
      6.4 一致性 64
      6.5 不同的交易成本 67
     
     7 結論與建議 69
      7.1 綜合結論 69
      7.2 建議與未來研究方向 70
     
     參考文獻 73
     
     附錄 I 程式軟體 : 金融遺傳規劃 79
     
     附錄II 遺傳規劃的交易策略 86
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0922580381en_US
dc.subject (關鍵詞) 遺傳規劃zh_TW
dc.subject (關鍵詞) 技術分析zh_TW
dc.subject (關鍵詞) 金融巿場zh_TW
dc.subject (關鍵詞) 交易策略zh_TW
dc.subject (關鍵詞) Genetic Programmingen_US
dc.subject (關鍵詞) Technical analysisen_US
dc.subject (關鍵詞) Finance Marketen_US
dc.subject (關鍵詞) Trading strategyen_US
dc.title (題名) 遺傳規劃應用於國際金融巿場交易策略之研究zh_TW
dc.type (資料類型) thesisen
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dc.relation.reference (參考文獻) Allen, F., and R. Karjalainen (1999), "Using genetic algorithms to find technical trading rules," Journal of Financial Economics, Vol. 51, pp. 245-271.zh_TW
dc.relation.reference (參考文獻) Bessembinder, H., and K. Chan (1995), "The profitability of technical trading rules in the asian stock markets."zh_TW
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dc.relation.reference (參考文獻) Management, Vol. 27, pp. 5-17.zh_TW
dc.relation.reference (參考文獻) Bhattacharyya, S., O. V. Pictet, and G. Zumbach (2002), "Knowledge-Intensive Genetic Discovery in Foreign Exchangezh_TW
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dc.relation.reference (參考文獻) Chen, S.-H., T.-W. Kuo, Y.-P. Shien (2002), "Genetic Programming: A Tutorial with the Software Simple GP,``zh_TW
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dc.relation.reference (參考文獻) A bootstrap approach,"zh_TW
dc.relation.reference (參考文獻) Journal of International Money and Finance, Vol. 12, pp. 451-474.zh_TW
dc.relation.reference (參考文獻) Neely C. J., Paul A. Weller, and R. Dittmar (1997), "Is Technical Analysis in Foreign Exchange Market Profitable? A Genetic Programming Approach, "zh_TW
dc.relation.reference (參考文獻) Journal of Financial and Quantitative Analysis, Vol. 32, pp. 405-426.zh_TW
dc.relation.reference (參考文獻) Neely C. J. and Paul A. Weller (1999), "Technical trading rules in the european monetary system," Jouranl of International Money and Finance, Vol. 18, No. 3 , pp. 429-458.zh_TW
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