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Volumn 2038, Issue , 2001, Pages 361-370

Genetic programming for financial time series prediction

Author keywords

[No Author keywords available]

Indexed keywords

FINANCIAL DATA PROCESSING; FINANCIAL MARKETS; FORECASTING; GENETIC ALGORITHMS;

EID: 84937415761     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-45355-5_29     Document Type: Article
Times cited : (43)

References (16)
  • 1
    • 0042824912 scopus 로고    scopus 로고
    • Using genetic algorithms to find technical trading rules
    • F. Allen and R. Karjalainen. Using genetic algorithms to find technical trading rules. Journal of Financial Economics, 51(2):245-271, 1999.
    • (1999) Journal of Financial Economics , vol.51 , Issue.2 , pp. 245-271
    • Allen, F.1    Karjalainen, R.2
  • 2
    • 0004435285 scopus 로고    scopus 로고
    • An adaptive evolutionary approach to option pricing via genetic programming
    • J. R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. B. Fogel, M. H. Garzon, D. E. Goldberg, H. Iba, and R. Riolo, editors, University of Wisconsin, Madison, Wisconsin, USA, 22-25July, Morgan Kaufmann
    • N. K. Chidambaran, C. H. Jevons Lee, and J. R. Trigueros. An adaptive evolutionary approach to option pricing via genetic programming. In J. R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. B. Fogel, M. H. Garzon, D. E. Goldberg, H. Iba, and R. Riolo, editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, pages 38-41, University of Wisconsin, Madison, Wisconsin, USA, 22-25 July 1998. Morgan Kaufmann.
    • (1998) Genetic Programming 1998: Proceedings of the Third Annual Conference , pp. 38-41
    • Chidambaran, N.K.1    Jevons Lee, C.H.2    Trigueros, J.R.3
  • 3
    • 0001959496 scopus 로고    scopus 로고
    • The use of parsimonious neural networks for forecasting financial time series
    • R. E. Dorsey and R. S. Sexton. The use of parsimonious neural networks for forecasting financial time series. Journal of Computational Intelligence in Finance, 6(1):24-31, 1998.
    • (1998) Journal of Computational Intelligence in Finance , vol.6 , Issue.1 , pp. 24-31
    • Dorsey, R.E.1    Sexton, R.S.2
  • 7
    • 0033676168 scopus 로고    scopus 로고
    • Genetic programming polynomial models of financial data series
    • La Jolla Marriott Hotel La Jolla, California, USA, 6-9, IEEE Press
    • H. Iba and N. Nikolaev. Genetic programming polynomial models of financial data series. In Proceedings of the 2000 Congress on Evolutionary Computation CEC00, pages 1459-1466, La Jolla Marriott Hotel La Jolla, California, USA, 6-9 July 2000. IEEE Press.
    • (2000) Proceedings of the 2000 Congress on Evolutionary Computation CEC00 , pp. 1459-1466
    • Iba, H.1    Nikolaev, N.2
  • 10
    • 0002591170 scopus 로고    scopus 로고
    • Dynamics of genetic programming and chaotic time series prediction
    • John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Stanford University, CA, USA, 28-31, MIT Press
    • B. S. Mulloy, R. L. Riolo, and R. S. Savit. Dynamics of genetic programming and chaotic time series prediction. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 166-174, Stanford University, CA, USA, 28-31 July 1996. MIT Press.
    • (1996) Genetic Programming 1996: Proceedings of the First Annual Conference , pp. 166-174
    • Mulloy, B.S.1    Riolo, R.L.2    Savit, R.S.3
  • 11
    • 0012842381 scopus 로고    scopus 로고
    • Time series prediction modeling by genetic programming without inheritance of model parameters
    • M. Sugisaka, editor, B-Con Plaza, Beppu, Oita, Japan
    • M. Numata, K. Sugawara, S. Yamada, I. Yoshihara, and K. Abe. Time series prediction modeling by genetic programming without inheritance of model parameters. In M. Sugisaka, editor, Proceedings 4th International Symposium on Artificial Life and Robotics, B-Con Plaza, Beppu, Oita, Japan, 19-22 January 1999.
    • (1999) Proceedings 4Th International Symposium on Artificial Life and Robotics , vol.January , pp. 19-22
    • Numata, M.1    Sugawara, K.2    Yamada, S.3    Yoshihara, I.4    Abe, K.5
  • 12
    • 84937494527 scopus 로고    scopus 로고
    • Time series prediction by genetic programming
    • John R. Koza, editor, University of Wisconsin, Madison, Wisconsin, USA, 22-25, Stanford University Bookstore
    • M. Numata, K. Sugawara, I. Yoshihara, and K. Abe. Time series prediction by genetic programming. In John R. Koza, editor, Late Breaking Papers at the Genetic Programming 1998 Conference, University of Wisconsin, Madison, Wisconsin, USA, 22-25 July 1998. Stanford University Bookstore.
    • (1998) Late Breaking Papers at the Genetic Programming 1998 Conference
    • Numata, M.1    Sugawara, K.2    Yoshihara, I.3    Abe, K.4
  • 13
    • 0031210972 scopus 로고    scopus 로고
    • Parallel genetic programming and its application to trading model induction
    • M. Oussaidène, B. Chopard, O. V. Pictet, and M. Tomassini. Parallel genetic programming and its application to trading model induction. Parallel Computing, 23:1183-1198, 1997.
    • (1997) Parallel Computing , vol.23 , pp. 1183-1198
    • Oussaidène, M.1    Chopard, B.2    Pictet, O.V.3    Tomassini, M.4
  • 14
    • 0033676169 scopus 로고    scopus 로고
    • GP-based modeling method for time series prediction with parameter optimization and node alternation
    • La Jolla Marriott Hotel La Jolla, California, USA, 16-19, IEEE Press
    • I. Yoshihara, T. Aoyama, and M. Yasunaga. GP-based modeling method for time series prediction with parameter optimization and node alternation. In Proceedings of the 2000 Congress on Evolutionary Computation CEC00, pages 1475-1481, La Jolla Marriott Hotel La Jolla, California, USA, 16-19 July 2000. IEEE Press.
    • (2000) Proceedings of the 2000 Congress on Evolutionary Computation CEC00 , pp. 1475-1481
    • Yoshihara, I.1    Aoyama, T.2    Yasunaga, M.3
  • 15
    • 0001063749 scopus 로고    scopus 로고
    • Evolutionary induction of sparse neural trees
    • B. Zhang, P. Ohm, and H. Mühlenbein. Evolutionary induction of sparse neural trees. Evolutionary Computation, 5(2):213-236, 1997.
    • (1997) Evolutionary Computation , vol.5 , Issue.2 , pp. 213-236
    • Zhang, B.1    Ohm, P.2    Mühlenbein, H.3
  • 16
    • 44849142683 scopus 로고    scopus 로고
    • Forecasting high frequency financial time series with evolutionary neural trees: The case of hang-sheng stock market
    • B. T. Zhang. Forecasting high frequency financial time series with evolutionary neural trees: The case of hang-sheng stock market. In Proceedings of ICAI'99, 1999.
    • (1999) Proceedings of ICAI'99
    • Zhang, B.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.