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Volumn 14, Issue 6, 2003, Pages 1506-1518

Support vector machine with adaptive parameters in financial time series forecasting

Author keywords

Back propagation (BP) neural network; Neural network; Nonstationarity; Regularized radial basis function (RBF); Support vector machine (SVM)

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; FINANCE; FORECASTING; ITERATIVE METHODS; LAGRANGE MULTIPLIERS; MULTILAYER NEURAL NETWORKS; QUADRATIC PROGRAMMING; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 0742268991     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2003.820556     Document Type: Article
Times cited : (933)

References (34)
  • 2
    • 0030193984 scopus 로고    scopus 로고
    • Introduction to financial forecasting
    • S. A. M. Yaser and A. F. Atiya, "Introduction to financial forecasting," Appl. Intell., vol. 6, pp. 205-213, 1996.
    • (1996) Appl. Intell. , vol.6 , pp. 205-213
    • Yaser, S.A.M.1    Atiya, A.F.2
  • 4
    • 0031553660 scopus 로고    scopus 로고
    • Financial time series modeling with discounted least squares back-propagation
    • A. N. Refenes, Y. Bentz, D. W. Bunn, A. N. Burgess and A. D. Zapranis, "Financial time series modeling with discounted least squares back-propagation," Neurocomputing, vol. 14, pp. 123-138, 1997.
    • (1997) Neurocomputing , vol.14 , pp. 123-138
    • Refenes, A.N.1    Bentz, Y.2    Bunn, D.W.3    Burgess, A.N.4    Zapranis, A.D.5
  • 5
    • 84993911657 scopus 로고
    • A nonparametric approach to pricing the hedging derivative securities via learning networks
    • J. Hutchinson, A. Lo, and T. Poggio, "A nonparametric approach to pricing the hedging derivative securities via learning networks," J. Finance, vol. 49, no. 3, pp. 851-889, 1994.
    • (1994) J. Finance , vol.49 , Issue.3 , pp. 851-889
    • Hutchinson, J.1    Lo, A.2    Poggio, T.3
  • 6
    • 0002787457 scopus 로고
    • Architecture selection strategies for neural networks: Application to corporate bond rating prediction
    • New York: Wiley
    • J. Moody and J. Utans, "Architecture selection strategies for neural networks: application to corporate bond rating prediction," in In Neural Networks in the Capital Markets. New York: Wiley, 1994.
    • (1994) In Neural Networks in the Capital Markets
    • Moody, J.1    Utans, J.2
  • 8
    • 0032133950 scopus 로고    scopus 로고
    • Neural network forecasting of the British Pound/U.S. Dollar Exchange Rate
    • G. Q. Zhang and Y. H. Michael, "Neural network forecasting of the British Pound/U.S. Dollar Exchange Rate," Omega, vol. 26, no. 4, pp. 495-506, 1998.
    • (1998) Omega , vol.26 , Issue.4 , pp. 495-506
    • Zhang, G.Q.1    Michael, Y.H.2
  • 10
    • 84978564324 scopus 로고
    • Forecasting futures trading volume using neural networks
    • I. Kaastra and S. B. Milton, "Forecasting futures trading volume using neural networks," J. Futures Markets, vol. 15, no. 8, pp. 853-970, 1995.
    • (1995) J. Futures Markets , vol.15 , Issue.8 , pp. 853-970
    • Kaastra, I.1    Milton, S.B.2
  • 11
    • 0030111856 scopus 로고    scopus 로고
    • A neural network approach to mutual fund net asset value forecasting
    • W. C. Chiang, T. L. Urban, and G. Baildridge, "A neural network approach to mutual fund net asset value forecasting," Omega, vol. 24, no. 2, pp. 205-215, 1996.
    • (1996) Omega , vol.24 , Issue.2 , pp. 205-215
    • Chiang, W.C.1    Urban, T.L.2    Baildridge, G.3
  • 12
    • 0742275248 scopus 로고    scopus 로고
    • Regime signaling techniques for nonstationary time series forecasting
    • R. Dross and Z. Obradovic, "Regime signaling techniques for nonstationary time series forecasting," Neurovest. J., vol. 4, no. 5, pp. 7-15, 1998.
    • (1998) Neurovest. J. , vol.4 , Issue.5 , pp. 7-15
    • Dross, R.1    Obradovic, Z.2
  • 18
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation and signal processing
    • V. N. Vapnik, S. E. Golowich, and A. J. Smola, "Support vector method for function approximation, regression estimation and signal processing," Adv. Neural Information Processing Syst. 9, pp. 281-287, 1996.
    • (1996) Adv. Neural Information Processing Syst. , vol.9 , pp. 281-287
    • Vapnik, V.N.1    Golowich, S.E.2    Smola, A.J.3
  • 21
    • 0001023715 scopus 로고    scopus 로고
    • Application of support vector machines in financial time series forecasting
    • F. E. H. Tay and L. J. Cao, "Application of support vector machines in financial time series forecasting," Omega, vol. 29, no. 4, pp. 309-317, 2001.
    • (2001) Omega , vol.29 , Issue.4 , pp. 309-317
    • Tay, F.E.H.1    Cao, L.J.2
  • 22
    • 0035533512 scopus 로고    scopus 로고
    • Financial forecasting using support vector machines
    • L. J. Cao and F. E. H. "Financial forecasting using support vector machines," Neural Comput. Applicat., vol. 10, no. 2, pp. 184-192, 2001.
    • (2001) Neural Comput. Applicat. , vol.10 , Issue.2 , pp. 184-192
    • Cao, L.J.1    Tay, F.E.H.2
  • 24
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Royal Holloway College, London, U.K., NeuroCOLT Tech. Rep. TR
    • A. J. Smola and B. Scholkopf, "A tutorial on support vector regression," Royal Holloway College, London, U.K., NeuroCOLT Tech. Rep. TR, 1998.
    • (1998)
    • Smola, A.J.1    Scholkopf, B.2
  • 25
    • 0004094721 scopus 로고    scopus 로고
    • Learning with kernels
    • Ph.D. dissertation, GMD, Birlinghoven, Germany
    • A. J. Smola, "Learning with kernels," Ph.D. dissertation, GMD, Birlinghoven, Germany, 1998.
    • (1998)
    • Smola, A.J.1
  • 26
    • 0001872071 scopus 로고    scopus 로고
    • The practitioner methods and tool
    • M. Thomason, "The practitioner methods and tool," J. Comput. Intell. in Finance, vol. 7, no. 3, pp. 36-45, 1999.
    • (1999) J. Comput. Intell. in Finance , vol.7 , Issue.3 , pp. 36-45
    • Thomason, M.1
  • 27
    • 0001872071 scopus 로고    scopus 로고
    • The practitioner methods and tool
    • ____, "The practitioner methods and tool," J. Comput. Intell. in Finance, vol. 7, no. 4, pp. 35-45, 1999.
    • (1999) J. Comput. Intell. in Finance , vol.7 , Issue.4 , pp. 35-45
    • Thomason, M.1
  • 28
    • 0742292680 scopus 로고    scopus 로고
    • The practitioner methods
    • ____, "The practitioner methods," J. Comput. Intell. in Finance, vol. 6, no. 1, pp. 43-44, 1998.
    • (1998) J. Comput. Intell. in Finance , vol.6 , Issue.1 , pp. 43-44
    • Thomason, M.1
  • 29
    • 0030130753 scopus 로고    scopus 로고
    • Designing a neural network for forecasting financing and economic time series
    • I. Kaastra and M. Boyd, "Designing a neural network for forecasting financing and economic time series," Neurocomputing, vol. 10, pp. 215-236, 1996.
    • (1996) Neurocomputing , vol.10 , pp. 215-236
    • Kaastra, I.1    Boyd, M.2
  • 30
  • 31
    • 0001606625 scopus 로고    scopus 로고
    • Economic factors and the stock market: A new perspective
    • M. Ql and G. S. Maddala, "Economic factors and the stock market: a new perspective," J. Forecasting, vol. 18, pp. 151-166, 1999.
    • (1999) J. Forecasting , vol.18 , pp. 151-166
    • Ql, M.1    Maddala, G.S.2
  • 32
    • 0003410301 scopus 로고
    • A radial basis function approach to financial time series analysis
    • Ph.D. dissertation, MIT, Cambridge, MA
    • J. M. Hutchinson, "A radial basis function approach to financial time series analysis," Ph.D. dissertation, MIT, Cambridge, MA, 1994.
    • (1994)
    • Hutchinson, J.M.1
  • 33
    • 0000672424 scopus 로고
    • Fast learning in networks of locally tuned processing units
    • J. Moody and C. Darken, "Fast learning in networks of locally tuned processing units," Neural Comput., vol. 1, no. 2, pp. 281-294, 1989.
    • (1989) Neural Comput. , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.