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Volumn 23, Issue 8, 2004, Pages 559-585

Probability distributions, trading strategies and leverage: An application of Gaussian mixture models

Author keywords

Arma models; Confirmation filters; Gaussian mixture models; Leverage; Logistic regression; Macd technical models; Neural networks; Probability distribution; Trading strategy

Indexed keywords

ALGORITHMS; BENCHMARKING; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 11144312635     PISSN: 02776693     EISSN: None     Source Type: Journal    
DOI: 10.1002/for.935     Document Type: Review
Times cited : (9)

References (20)
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    • Mixture density networks
    • Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK
    • Bishop CM. 1994. Mixture density networks. Internal Report NCRG/4288, Department of Computer Science and Applied Mathematics, Aston University, Birmingham, UK.
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    • Bishop, C.M.1
  • 4
    • 0442319687 scopus 로고    scopus 로고
    • Modelling and trading the EUR/USD exchange rate: Do neural network models perform better?
    • Dunis C, Williams M. 2002. Modelling and trading the EUR/USD exchange rate: do neural network models perform better? Derivatives Use, Trading and Regulation 8(3): 211-239.
    • (2002) Derivatives Use, Trading and Regulation , vol.8 , Issue.3 , pp. 211-239
    • Dunis, C.1    Williams, M.2
  • 5
    • 11144320514 scopus 로고    scopus 로고
    • Applications of advanced regression analysis for trading and investment
    • Dunis C, Laws J, Naïm P (eds). John Wiley: Chichester
    • Dunis C, Williams M. 2003. Applications of advanced regression analysis for trading and investment. In Applied Quantitative Methods for Trading and Investment, Dunis C, Laws J, Naïm P (eds). John Wiley: Chichester.
    • (2003) Applied Quantitative Methods for Trading and Investment
    • Dunis, C.1    Williams, M.2
  • 8
    • 0029403793 scopus 로고
    • Stochastic choice of basis functions in adaptive functional approximation and the functional-link net
    • Igelnik B, Pao YH. 1995. Stochastic choice of basis functions in adaptive functional approximation and the functional-link net. IEEE Transactions on Neural Networks 6: 1320-1329.
    • (1995) IEEE Transactions on Neural Networks , vol.6 , pp. 1320-1329
    • Igelnik, B.1    Pao, Y.H.2
  • 9
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • Jordan MI, Jacobs R A. 1994. Hierarchical mixtures of experts and the EM algorithm. Neural Computation 6: 181-214.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 10
    • 0030130753 scopus 로고    scopus 로고
    • Designing a neural network for forecasting financial and economic time series
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    • Kaastra, I.1    Boyd, M.2
  • 12
    • 0001025418 scopus 로고
    • Bayesian interpolation
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    • Djc, M.1
  • 16
    • 0034621109 scopus 로고    scopus 로고
    • A hitchhiker's guide to the techniques of adaptive nonlinear models
    • Shapiro AF. 2000. A hitchhiker's guide to the techniques of adaptive nonlinear models. Insurance, Mathematics and Economics 26: 119-132.
    • (2000) Insurance, Mathematics and Economics , vol.26 , pp. 119-132
    • Shapiro, A.F.1
  • 19
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    • Predicting conditional probability distributions: A connectionist approach
    • Weigend AS, Srivastava AN. 1995. Predicting conditional probability distributions: a connectionist approach. International Journal of Neural Systems 6(2): 109-118.
    • (1995) International Journal of Neural Systems , vol.6 , Issue.2 , pp. 109-118
    • Weigend, A.S.1    Srivastava, A.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.