메뉴 건너뛰기




Volumn 74, Issue 1, 1999, Pages 89-99

Modelling non-linear moving average processes using neural networks with error feedback: An application to implied volatility forecasting

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; MATHEMATICAL MODELS; MONTE CARLO METHODS; NEURAL NETWORKS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 0032686084     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(98)00202-3     Document Type: Article
Times cited : (9)

References (18)
  • 2
    • 85031629750 scopus 로고
    • The use of error feedback terms in neural network modelling of financial time series
    • Pasadena, 16-18 November
    • A.N. Burgess, D.W. Bunn, The use of error feedback terms in neural network modelling of financial time series, in: Proc. NNCM, Pasadena, 16-18 November 1994.
    • (1994) In: Proc. NNCM
    • Burgess, A.N.1    Bunn, D.W.2
  • 3
    • 0003233156 scopus 로고    scopus 로고
    • The use of error feedback terms in neural network modelling of financial time series
    • C. Dunis. New York: Wiley
    • Burgess A.N., Refenes A.N. The use of error feedback terms in neural network modelling of financial time series. Dunis C. Forecasting Financial Markets. 1996;Wiley, New York.
    • (1996) Forecasting Financial Markets
    • Burgess, A.N.1    Refenes, A.N.2
  • 4
    • 0028401357 scopus 로고
    • Recurrent neural networks and robust time series prediction
    • March
    • J.T. Connor, R.D. Martin, L.E. Atlas, Recurrent neural networks and robust time series prediction, IEEE Trans. Neural Networks 5 (2) (March 1994) 240-254.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.2 , pp. 240-254
    • Connor, J.T.1    Martin, R.D.2    Atlas, L.E.3
  • 5
    • 26444565569 scopus 로고
    • Finding structure in time
    • Elman J.L. Finding structure in time. Cognitive Sci. 14(2):1990;179-211.
    • (1990) Cognitive Sci. , vol.14 , Issue.2 , pp. 179-211
    • Elman, J.L.1
  • 8
    • 49149136839 scopus 로고
    • Some properties of time series data and their use in econometric model specification
    • Granger C.W.J. Some properties of time series data and their use in econometric model specification. J. of Econometrics. 16(1):1981;121-130.
    • (1981) J. of Econometrics , vol.16 , Issue.1 , pp. 121-130
    • Granger, C.W.J.1
  • 9
    • 0345496861 scopus 로고
    • Neural nets for time series forecasting: Criteria for performance with an application in gilt futures pricing
    • J. Kingdon, Neural nets for time series forecasting: Criteria for performance with an application in gilt futures pricing, in: Proc. Neural Networks in the Capital Markets, 1993.
    • (1993) In: Proc. Neural Networks in the Capital Markets
    • Kingdon, J.1
  • 10
    • 0345496862 scopus 로고    scopus 로고
    • Symbolic conversion, grammatical inference and rule extraction for foreign exchange rate prediction
    • A.S. et al. Weigend. Singapore: World Scientific
    • Lawrence S., Giles C.L., Tsoi A.C. Symbolic conversion, grammatical inference and rule extraction for foreign exchange rate prediction. Weigend A.S.et al. Decision Technologies for Financial Engineering. 1997;World Scientific, Singapore.
    • (1997) Decision Technologies for Financial Engineering
    • Lawrence, S.1    Giles, C.L.2    Tsoi, A.C.3
  • 11
    • 0038930790 scopus 로고    scopus 로고
    • Learning long-term dependencies is not as difficult with NARX networks
    • D.S. et al. Touretzky. Cambridge. MA: MIT Press
    • Lin T., Horne B.G., Tino P., Giles C.L. Learning long-term dependencies is not as difficult with NARX networks. Touretzky D.S.et al. Advances in Neural Information Processing 8. 1996;MIT Press, Cambridge. MA.
    • (1996) Advances in Neural Information Processing 8
    • Lin, T.1    Horne, B.G.2    Tino, P.3    Giles, C.L.4
  • 12
    • 85031627061 scopus 로고
    • Estimation of implied volatilities using a neural network approach
    • NnCM'94, Caltech Pasadena, 17-18 November
    • F. Miranda-Gonzalez, Estimation of implied volatilities using a neural network approach, in: Proc. Neural Networks in the Capital Markets, NnCM'94, Caltech Pasadena, 17-18 November 1994.
    • (1994) In: Proc. Neural Networks in the Capital Markets
    • Miranda-Gonzalez, F.1
  • 13
    • 0002787457 scopus 로고
    • Architecture selection strategies for Neural Networks: Application to corporate bond rating
    • A-P.N. Refenes. Chichester: Wiley
    • Moody J., Utans J. Architecture selection strategies for Neural Networks: application to corporate bond rating. Refenes A-P.N. Neural Networks in the Capital Markets. 1994;Wiley, Chichester.
    • (1994) Neural Networks in the Capital Markets
    • Moody, J.1    Utans, J.2
  • 14
    • 0028277023 scopus 로고
    • Stock Performance modelling using neural networks: A comparative study with regression models
    • Refenes A-P.N.et al. Stock Performance modelling using neural networks: a comparative study with regression models. Neural Networks. 7(2):1994;375-388.
    • (1994) Neural Networks , vol.7 , Issue.2 , pp. 375-388
    • Refenes, A.-P.N.1
  • 15
    • 0031272644 scopus 로고    scopus 로고
    • Neural networks in financial engineering: A study in methodology
    • Refenes A-P.N., Burgess A.N., Bentz Y. Neural networks in financial engineering: a study in methodology. IEEE Trans. Neural Networks. 8(6):1997;1222-1266.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.6 , pp. 1222-1266
    • Refenes, A.-P.N.1    Burgess, A.N.2    Bentz, Y.3
  • 16
    • 0000539096 scopus 로고    scopus 로고
    • Generalization by weight elimination with application to forecasting
    • Morgan-Kaufmann
    • A.S. Weigend et al., Generalization by weight elimination with application to forecasting, in: Advances in Neural Information Processing Systems 3, Morgan-Kaufmann, 1991.
    • In: Advances in Neural Information Processing Systems , vol.3 , pp. 1991
    • Weigend, A.S.1
  • 17
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • October
    • P.J. Werbos, Backpropagation through time: What it does and how to do it, Proc. IEEE 78 (10) (October 1990) 1550-1560.
    • (1990) Proc. IEEE , vol.78 , Issue.10 , pp. 1550-1560
    • Werbos, P.J.1
  • 18
    • 85031631143 scopus 로고
    • Comparative study of sensitivity analysis methods
    • Caltech, Pasadena, 17-18 November
    • A.D. Zapranis, Comparative study of sensitivity analysis methods, in: Proc. NnCM' 94, Caltech, Pasadena, 17-18 November 1994.
    • (1994) In: Proc. NnCM' 94
    • Zapranis, A.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.