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Volumn 39, Issue 6, 2007, Pages 629-637

Kernel principal component analysis and support vector machines for stock price prediction

Author keywords

Financial time series; Forecasting; Kernel principal component analysis; Support vector regression

Indexed keywords

DATA MINING; FORECASTING; HEURISTIC METHODS; MULTILAYER NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; TIME SERIES ANALYSIS;

EID: 33947678171     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170600897486     Document Type: Article
Times cited : (64)

References (34)
  • 2
    • 0038298413 scopus 로고    scopus 로고
    • Mechanistic approach to generalized technical analysis of share prices and stock market indices
    • Ausloos, M. and Ivanova, K. (2002) Mechanistic approach to generalized technical analysis of share prices and stock market indices. European Physical Journal B, 27, pp. 177-187.
    • (2002) European Physical Journal B , vol.27 , pp. 177-187
    • Ausloos, M.1    Ivanova, K.2
  • 3
    • 0000172347 scopus 로고
    • Sample-dependent results using accounting and market data: Some evidence
    • Banz, R. and Breen, W. (1986) Sample-dependent results using accounting and market data: Some evidence. Journal of Finance, 41, pp. 779-793.
    • (1986) Journal of Finance , vol.41 , pp. 779-793
    • Banz, R.1    Breen, W.2
  • 4
    • 0344839169 scopus 로고
    • Stock returns and the term structure
    • Campbell, J. (1987) Stock returns and the term structure. Journal of Financial Economics, 18, pp. 373-399.
    • (1987) Journal of Financial Economics , vol.18 , pp. 373-399
    • Campbell, J.1
  • 5
    • 0037404567 scopus 로고    scopus 로고
    • Application of neural networks to an emerging market: Forecasting and trading the Taiwan Stock Index
    • Chen, A., Leung, M. T. and Daouk, H. (2003) Application of neural networks to an emerging market: Forecasting and trading the Taiwan Stock Index. Computers & Operation Research, 30, pp. 901-923.
    • (2003) Computers & Operation Research , vol.30 , pp. 901-923
    • Chen, A.1    Leung, M.T.2    Daouk, H.3
  • 6
    • 0000913324 scopus 로고    scopus 로고
    • Svmtorch: Support vector machines for large-scale regression problems
    • Collobert, R. and Bengio, S. (2001) Svmtorch: Support vector machines for large-scale regression problems. Journal of Machine Learning Research, 1, pp. 143-160.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 143-160
    • Collobert, R.1    Bengio, S.2
  • 7
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C. and Vapnik, V. (1995) Support vector networks. Machine Learning, 20, pp. 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 0000029776 scopus 로고
    • Efficient capital markets: II
    • Fama, E. (1991) Efficient capital markets: II. Journal of Finance, 46:5, pp. 1575-1617.
    • (1991) Journal of Finance , vol.46 , Issue.5 , pp. 1575-1617
    • Fama, E.1
  • 9
    • 84977737676 scopus 로고
    • The cross-section of expected stock returns
    • Fama, E. and French, K. (1992) The cross-section of expected stock returns. Journal of Finance, 47, pp. 427-465.
    • (1992) Journal of Finance , vol.47 , pp. 427-465
    • Fama, E.1    French, K.2
  • 12
    • 17444450744 scopus 로고    scopus 로고
    • The predictibility of security returns with simple technical trading rules
    • Gencay, R. (1998) The predictibility of security returns with simple technical trading rules. Journal of Empirical Finance, 5, pp. 347-359.
    • (1998) Journal of Empirical Finance , vol.5 , pp. 347-359
    • Gencay, R.1
  • 13
    • 84993911657 scopus 로고
    • A nonparametic approach to pricing and hedging derivative securities via learning networks
    • Hutchinson, J. M., Lo, A. W. and Poggio, T. (1994) A nonparametic approach to pricing and hedging derivative securities via learning networks. Journal of Finance, 49:3, pp. 851-889.
    • (1994) Journal of Finance , vol.49 , Issue.3 , pp. 851-889
    • Hutchinson, J.M.1    Lo, A.W.2    Poggio, T.3
  • 14
    • 84977717050 scopus 로고
    • Earnings yields, market values and stock returns
    • Jaffe, J., Keim, D. and Westerfield, R. (1989) Earnings yields, market values and stock returns. Journal of Finance, 44, pp. 135-148.
    • (1989) Journal of Finance , vol.44 , pp. 135-148
    • Jaffe, J.1    Keim, D.2    Westerfield, R.3
  • 17
    • 9244248635 scopus 로고    scopus 로고
    • Forecasting the New York Stock Exchange composite index with past price and interest rate on condition of volume spike
    • Leigh, W., Hightower, R. and Modani, N. (2005) Forecasting the New York Stock Exchange composite index with past price and interest rate on condition of volume spike. Expert Systems with Applications, 28:1, pp. 1-8.
    • (2005) Expert Systems With Applications , vol.28 , Issue.1 , pp. 1-8
    • Leigh, W.1    Hightower, R.2    Modani, N.3
  • 18
    • 0036167958 scopus 로고    scopus 로고
    • An analysis of a hybrid neural network and pattern recognition technique for predicting short-term increases in the NYSE
    • Leigh, W., Paz, M. and Purvis, R. (2002) An analysis of a hybrid neural network and pattern recognition technique for predicting short-term increases in the NYSE. International Journal of Management Science, 30, pp. 69-76.
    • (2002) International Journal of Management Science , vol.30 , pp. 69-76
    • Leigh, W.1    Paz, M.2    Purvis, R.3
  • 22
    • 0003425668 scopus 로고    scopus 로고
    • Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
    • Pontil, M. and Verri, A. (1997) Properties of support vector machines, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA
    • (1997) Properties of Support Vector Machines
    • Pontil, M.1    Verri, A.2
  • 24
    • 0035561486 scopus 로고    scopus 로고
    • Kernel PCA for feature extraction and de-noising in non-linear regression
    • Rosipal, R., Girolami, M., Trejo, L. J. and Cichocki, A. (2001) Kernel PCA for feature extraction and de-noising in non-linear regression. Neural Computing & Applications, 10:3, pp. 231-243.
    • (2001) Neural Computing & Applications , vol.10 , Issue.3 , pp. 231-243
    • Rosipal, R.1    Girolami, M.2    Trejo, L.J.3    Cichocki, A.4
  • 26
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Smola, A. and Schölkopf, B. (1998) A tutorial on support vector regression. Statistics and Computing, 14, pp. 199-222.
    • (1998) Statistics and Computing , vol.14 , pp. 199-222
    • Smola, A.1    Schölkopf, B.2
  • 27
    • 0036825901 scopus 로고    scopus 로고
    • Modified support vector machines in financial time series forecasting
    • Tay, F. E. H. and Cao, L. J. (2002) Modified support vector machines in financial time series forecasting. Neurocomputing, 48, pp. 847-861.
    • (2002) Neurocomputing , vol.48 , pp. 847-861
    • Tay, F.E.H.1    Cao, L.J.2
  • 31
    • 0033329367 scopus 로고    scopus 로고
    • Sensitivity analysis, neural networks and the finance
    • Tsaih, R. (1999) Sensitivity analysis, neural networks and the finance, pp. 3830-3835.
    • (1999) , pp. 3830-3835
    • Tsaih, R.1
  • 32
    • 0037209489 scopus 로고    scopus 로고
    • The use of kernel principal component analysis to model data distribution
    • Twining, C. J. and Taylor, C. J. (2003) The use of kernel principal component analysis to model data distribution. Pattern Recognition, 36, pp. 217-227.
    • (2003) Pattern Recognition , vol.36 , pp. 217-227
    • Twining, C.J.1    Taylor, C.J.2
  • 34
    • 0034283989 scopus 로고    scopus 로고
    • A case study on using neural networks to perform technical forecasting of Forex
    • Yao, J. and Tan, C. L. (2000) A case study on using neural networks to perform technical forecasting of Forex. Neurocomputing, 34, pp. 79-98.
    • (2000) Neurocomputing , vol.34 , pp. 79-98
    • Yao, J.1    Tan, C.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.