메뉴 건너뛰기




Volumn 1711, Issue , 1999, Pages 533-543

Optimalmulti-scale time series decomposition for financial forecasting usingwavelet thresholding techniques

Author keywords

Discrete wavelet transform; Neural networks; Nonlinear dynamic analysis; Wavelet packet transform; Wavelet thresholding techniques

Indexed keywords

COMMERCE; DATA MINING; DISCRETE WAVELET TRANSFORMS; DYNAMICS; ELECTRONIC TRADING; FINANCE; FINANCIAL MARKETS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; PACKET NETWORKS; ROUGH SET THEORY; SIGNAL PROCESSING; SOFT COMPUTING; WAVELET ANALYSIS; WAVELET TRANSFORMS;

EID: 65649135937     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_66     Document Type: Conference Paper
Times cited : (3)

References (52)
  • 1
    • 0001835983 scopus 로고
    • Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure
    • Antoniadis A., Oppenheim G. (eds.): Lecture Notes in Statistics, Springer-Verlag
    • Abramovich, F., Benjamini, Y.: Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure. Wavelets and Statistics, Antoniadis A., Oppenheim G. (eds.): Lecture Notes in Statistics 103, Springer-Verlag (1995) 5-14
    • (1995) Wavelets and Statistics , vol.103 , pp. 5-14
    • Abramovich, F.1    Benjamini, Y.2
  • 3
    • 0002378584 scopus 로고    scopus 로고
    • Wavelet-Based Feature Extraction and Decomposition Strategies for Financial Forecasting
    • March/April
    • Aussem, A., Compbell, J., Murtagh, F.: Wavelet-Based Feature Extraction and Decomposition Strategies for Financial Forecasting. Journal of Computational Intelligence in Finance, March/April (1998) 5-12
    • (1998) Journal of Computational Intelligence in Finance , pp. 5-12
    • Aussem, A.1    Compbell, J.2    Murtagh, F.3
  • 4
    • 0027147212 scopus 로고
    • Wave-Net: A Multi-Resolution, Hierarchical Neural Network with Localized Learning
    • Bakshi, B. R., Stephanopoulos, G.: Wave-Net: A Multi-Resolution, Hierarchical Neural Network with Localized Learning. AIChE Journal, 39, 1, (1993) 57-81
    • (1993) Aiche Journal , vol.39 , Issue.1 , pp. 57-81
    • Bakshi, B.R.1    Stephanopoulos, G.2
  • 5
    • 38849202899 scopus 로고
    • Reasoning in Time: Modeling, Analysis, and Pattern Recognition of Temporal Process Trends
    • Bakshi, B. R., Stephanopoulos, G.: Reasoning in Time: Modeling, Analysis, and Pattern Recognition of Temporal Process Trends. Advances in Chemical Engineering, Vol. 22, (1995) 485-547
    • (1995) Advances in Chemical Engineering , vol.22 , pp. 485-547
    • Bakshi, B.R.1    Stephanopoulos, G.2
  • 6
    • 0003958737 scopus 로고
    • Ph.D. Thesis, Stanford University, Department of Statistics, Nov
    • Chen, S.S.: Basis Pursuit. Ph.D. Thesis, Stanford University, Department of Statistics, Nov. (1995)
    • (1995) Basis Pursuit
    • Chen, S.S.1
  • 7
    • 0003958737 scopus 로고
    • Technical Report, Stanford University, Statistics Department
    • Chen, S.S., Donoho, D.L.: Basis Pursuit. Technical Report, Stanford University, Statistics Department, (1995)
    • (1995) Basis Pursuit
    • Chen, S.S.1    Donoho, D.L.2
  • 12
    • 0000675659 scopus 로고
    • Remarques sur lanalyse de Fourier a fenetre
    • Coifman, R., Meyer, Y.: Remarques sur lanalyse de Fourier a fenetre. C.R. Acad. Sci. Paris 312, (1992) 259-261
    • (1992) C.R. Acad. Sci. Paris , vol.312 , pp. 259-261
    • Coifman, R.1    Meyer, Y.2
  • 13
    • 0000322735 scopus 로고
    • Signal Processing and Compression with Wavelet Packets
    • Byrnes, J.S., Byrnes, J.L., Hargreaves, K.A., Berry, K. (eds.)
    • Coifman, R.R., Meyer, Y., Quake, S., Wickerhauser, M.V.: Signal Processing and Compression with Wavelet Packets. In: Byrnes, J.S., Byrnes, J.L., Hargreaves, K.A., Berry, K. (eds.): Wavelets and Their Applications, (1994) 363-379
    • (1994) Wavelets and Their Applications , pp. 363-379
    • Coifman, R.R.1    Meyer, Y.2    Quake, S.3    Wickerhauser, M.V.4
  • 16
    • 0000278339 scopus 로고
    • Wavelets and Adapted Waveform Analysis. A Toolkit for Signal Processing and Numerical Analysis
    • Coifman, R.R., Wickerhauser, M.V.: Wavelets and Adapted Waveform Analysis. A Toolkit for Signal Processing and Numerical Analysis. Processing of Symposia in Applied Mathematics 47 (1993) 119-145
    • (1993) Processing of Symposia in Applied Mathematics , vol.47 , pp. 119-145
    • Coifman, R.R.1    Wickerhauser, M.V.2
  • 17
    • 0024035735 scopus 로고
    • Time-Frequency Localization Operators: A Geometric Phase Space Approach
    • Daubechies, I.: Time-Frequency Localization Operators: A Geometric Phase Space Approach. IEEE Transactions on Information Theory, 34, (1988) 605-612
    • (1988) IEEE Transactions on Information Theory , vol.34 , pp. 605-612
    • Daubechies, I.1
  • 20
    • 0030708946 scopus 로고    scopus 로고
    • Identification and Chararterization of Water Quality Transients Using Wavelet Analysis
    • Dohan, K., Whifield, P.H.: Identification and Chararterization of Water Quality Transients Using Wavelet Analysis. I. Wavelet Analysis Methodology. Wat. Sci. Tech. Vol. 36, No. 5 (1997) 325-335
    • (1997) I. Wavelet Analysis Methodology. Wat. Sci. Tech , vol.36 , Issue.5 , pp. 325-335
    • Dohan, K.1    Whifield, P.H.2
  • 23
    • 0041958932 scopus 로고
    • Ideal Spatial Adaptation via Wavelet Shrinkage
    • Donoho, D.L., Johnstone, I.M.: Ideal Spatial Adaptation via Wavelet Shrinkage. Bimetrika, vol. 81 (1994) 425-455
    • (1994) Bimetrika , vol.81 , pp. 425-455
    • Donoho, D.L.1    Johnstone, I.M.2
  • 24
    • 26444565569 scopus 로고
    • Finding Structure in Time
    • Elman, J.L.: Finding Structure in Time. Cognitive Science 14, (1990) 179-211
    • (1990) Cognitive Science , vol.14 , pp. 179-211
    • Elman, J.L.1
  • 25
    • 0032207764 scopus 로고    scopus 로고
    • ScaleNet-Muliscale Neural-Network Architecture for Time Series Prediction
    • Sep
    • Geva, A.B.: ScaleNet-Muliscale Neural-Network Architecture for Time Series Prediction. IEEE Transactions on Neural Networks, Vol. 9, No.5, Sep. (1998)
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.5
    • Geva, A.B.1
  • 28
    • 0343365556 scopus 로고    scopus 로고
    • A Fractional Differencing Analysis of Yield Curves by means of Wavelet Analysis
    • Geneva, Switzerland, 26-28 June
    • Høg, E.: A Fractional Differencing Analysis of Yield Curves by means of Wavelet Analysis. Second International Conference on Computing in Economics and Finance, Geneva, Switzerland, 26-28 June (1996)
    • (1996) Second International Conference on Computing in Economics and Finance
    • Høg, E.1
  • 29
    • 0342496072 scopus 로고    scopus 로고
    • Analyzing Continuous-time Long-memory Models with Wavelets
    • Duke University, October 12-13
    • Høg, E.: Analyzing Continuous-time Long-memory Models with Wavelets. International Workshop on Wavelets and Statistics, Duke University, October 12-13, (1997)
    • (1997) International Workshop on Wavelets and Statistics
    • Høg, E.1
  • 30
    • 84958077196 scopus 로고    scopus 로고
    • Using Wavelets to Obtain a Consistent Ordinary Least Squares Estimator of the Long Memory Parameter
    • (forthcoming)
    • Jensen, M.J.: Using Wavelets to Obtain a Consistent Ordinary Least Squares Estimator of the Long Memory Parameter. Journal of Forecasting, (1998) (forthcoming).
    • (1998) Journal of Forecasting
    • Jensen, M.J.1
  • 31
    • 0342930274 scopus 로고    scopus 로고
    • Wavelet Thresholding Using Generalized Cross Validation
    • Duke University, NC, U.S.A., 12-13 October
    • Jensen, M., Bultheel, A.: Wavelet Thresholding Using Generalized Cross Validation. The International Workshop on Wavelets and Statistics, Duke University, NC, U.S.A., 12-13 October (1997)
    • (1997) The International Workshop on Wavelets and Statistics
    • Jensen, M.1    Bultheel, A.2
  • 32
    • 0001013273 scopus 로고    scopus 로고
    • Wavelet Threshold Estimators for Data with Correlated Noise
    • Johnstone, I.M., Silverman, B.W.: Wavelet Threshold Estimators for Data with Correlated Noise. J. Roy. Statist. Soc. B., 59, (1997) 319-351
    • (1997) J. Roy. Statist. Soc. B , vol.59 , pp. 319-351
    • Johnstone, I.M.1    Silverman, B.W.2
  • 33
    • 0026222695 scopus 로고
    • Convergence of Learning Algorithms with Constant Learning Rates
    • Kuan, C.M., Hornik, K.: Convergence of Learning Algorithms with Constant Learning Rates. IEEE Transactions on Neural Networks, Vol. 2, No.5, (1991) 484-489
    • (1991) IEEE Transactions on Neural Networks , vol.2 , Issue.5 , pp. 484-489
    • Kuan, C.M.1    Hornik, K.2
  • 38
    • 0003766708 scopus 로고
    • Technical Report 447, Department of Statistics, Stanford University
    • Nason, G.P.: Wavelet Regression by Cross-validation. Technical Report 447, Department of Statistics, Stanford University, (1994)
    • (1994) Wavelet Regression by Cross-Validation
    • Nason, G.P.1
  • 39
    • 0000146939 scopus 로고
    • Choice of the Threshold Parameter in Wavelet Function Estimation
    • Antoniadis, A. and Oppenheim, G. (eds.), New York: Springer-Verlag
    • Nason, G.P.: Choice of the Threshold Parameter in Wavelet Function Estimation. In Wavelets and Statistics, Lecture Notes in Statistics 103, Antoniadis, A. and Oppenheim, G. (eds.), New York: Springer-Verlag, (1995) 261-280
    • (1995) Wavelets and Statistics, Lecture Notes in Statistics , vol.103 , pp. 261-280
    • Nason, G.P.1
  • 41
    • 0030160662 scopus 로고    scopus 로고
    • Data Dependent Wavelet Thresholding in Nonparametric Regression with Change Points Applications
    • Ogden, T., Parzen, E.: Data Dependent Wavelet Thresholding in Nonparametric Regression with Change Points Applications. Computational Statistics and Data Analysis, 22 (1996a) 53-70
    • (1996) Computational Statistics and Data Analysis , vol.22 , pp. 53-70
    • Ogden, T.1    Parzen, E.2
  • 42
    • 21344466471 scopus 로고    scopus 로고
    • Change-point Approach to Data Analytic Wavelet Thresholding
    • Ogden, T., Parzen, E.: Change-point Approach to Data Analytic Wavelet Thresholding. Statist. Comput., 6, (1996b) 93-99
    • (1996) Statist. Comput , vol.6 , pp. 93-99
    • Ogden, T.1    Parzen, E.2
  • 44
    • 0001379053 scopus 로고
    • Neural Network Adaptive Wavelets for Signal Representation and Classification
    • Sept
    • Szu, H., Telfer, B., Kadambe, S.: Neural Network Adaptive Wavelets for Signal Representation and Classification. Optical Engineering, Vol. 31, No.9, Sept. (1992) 1907-1916
    • (1992) Optical Engineering , vol.31 , Issue.9 , pp. 1907-1916
    • Szu, H.1    Telfer, B.2    Kadambe, S.3
  • 48
    • 0030492140 scopus 로고    scopus 로고
    • Function Estimation via Wavelet Shrinkage for Long-memory Data
    • Wang, Y.: Function Estimation via Wavelet Shrinkage for Long-memory Data. Annals of Statistics 24 (1996) 466-484
    • (1996) Annals of Statistics , vol.24 , pp. 466-484
    • Wang, Y.1
  • 52
    • 0031098254 scopus 로고    scopus 로고
    • Using Wavelet Networks in Nonparametric Estimation
    • Zhang, Q.: Using Wavelet Networks in Nonparametric Estimation. IEEE Transactions on Neural Networks, vol.8, (1997) 227-236
    • (1997) IEEE Transactions on Neural Networks , vol.8 , pp. 227-236
    • Zhang, Q.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.