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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/32279

    Title: 遺傳規劃應用於國際金融巿場交易策略之研究
    Authors: 許江妹
    Hoi , Kong Mui
    Contributors: 陳樹衡
    Chen, Shu-Heng
    Hoi , Kong Mui
    Keywords: 遺傳規劃
    Genetic Programming
    Technical analysis
    Finance Market
    Trading strategy
    Date: 2005
    Issue Date: 2009-09-14 13:34:00 (UTC+8)
    Abstract: 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。
    Reference: 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.
    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
    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.
    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0922580381
    Data Type: thesis
    Appears in Collections:[經濟學系] 學位論文

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