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Volumn 4221 LNCS - I, Issue , 2006, Pages 303-312

A hybrid unscented Kalman filter and support vector machine model in option price forecasting

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; ELECTRONIC COMMERCE; FORECASTING; KALMAN FILTERING; LEARNING SYSTEMS; NEURAL NETWORKS;

EID: 33750324386     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11881070_44     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 1
    • 45249128876 scopus 로고
    • Combining forecasts: A review and annotated bibliography with discussion
    • Clemen, R.: Combining forecasts: a review and annotated bibliography with discussion. International Journal of Forecasting, 5 (1989), 559-608.
    • (1989) International Journal of Forecasting , vol.5 , pp. 559-608
    • Clemen, R.1
  • 2
    • 85015692260 scopus 로고
    • The pricing of options and corporate liabilities
    • Black, F. and Scholes, M. S.: The pricing of options and corporate liabilities, Journal of Political Economy, 81 (1973), 637-654.
    • (1973) Journal of Political Economy , vol.81 , pp. 637-654
    • Black, F.1    Scholes, M.S.2
  • 3
    • 0036859376 scopus 로고    scopus 로고
    • Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory
    • Castillo, O., Melin, P.: Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory. IEEE Trans. Neural Networks, 13 (2002) 1395-1408.
    • (2002) IEEE Trans. Neural Networks , vol.13 , pp. 1395-1408
    • Castillo, O.1    Melin, P.2
  • 5
    • 9744257846 scopus 로고    scopus 로고
    • Prediction of chaotic time series based on the recurrent predictor neural network
    • Han, M., Xi, J., Xu, S., Yin, F.-L.: Prediction of chaotic time series based on the recurrent predictor neural network. IEEE Trans. Signal Processing, 52 (2004) 3409-3416.
    • (2004) IEEE Trans. Signal Processing , vol.52 , pp. 3409-3416
    • Han, M.1    Xi, J.2    Xu, S.3    Yin, F.-L.4
  • 8
    • 0000681384 scopus 로고
    • The accuracy of combining judgemental and stastical forecasts
    • Lawerence, M. J., Edmundson, R. H., and O'Connor, M. J.: The accuracy of combining judgemental and stastical forecasts, Management Science., 32 (1986), 1521-1532.
    • (1986) Management Science , vol.32 , pp. 1521-1532
    • Lawerence, M.J.1    Edmundson, R.H.2    O'Connor, M.J.3
  • 10
    • 0036074753 scopus 로고    scopus 로고
    • Combined forecasts from linear and nonlinear time series models
    • Terui, N. and Dijk, H. K.: Combined forecasts from linear and nonlinear time series models. International Journal of Forecasting, 18 (2002), 421-438.
    • (2002) International Journal of Forecasting , vol.18 , pp. 421-438
    • Terui, N.1    Dijk, H.K.2
  • 15
    • 0034878556 scopus 로고    scopus 로고
    • Predicting time series using wavelet packet neural networks
    • Wang, L,P., Teo, K.K., Lin, Z.: Predicting time series using wavelet packet neural networks. Proc. IJCNN 2001, 1593-1597.
    • Proc. IJCNN 2001 , pp. 1593-1597
    • Wang, L.P.1    Teo, K.K.2    Lin, Z.3
  • 16
    • 0037243071 scopus 로고    scopus 로고
    • Times series forecasting using a hybrid ARIMA and neural network model
    • Zhang, G. P.: Times series forecasting using a hybrid ARIMA and neural network model. Neurocomputing, 50 (2003), 159-175.
    • (2003) Neurocomputing , vol.50 , pp. 159-175
    • Zhang, G.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.