-
2
-
-
0038298413
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
19
-
-
84947570319
-
GA and financial analysis
-
Budapest, Hungarypp
-
Leus, M., Deugo, D., Oppacher, F. and Cattral, R. (2001) GA and financial analysis. Proceeding of IEA/AIE 2001 Budapest, Hungarypp. 868-873.
-
(2001)
Proceeding of IEA/AIE 2001
, pp. 868-873
-
-
Leus, M.1
Deugo, D.2
Oppacher, F.3
Cattral, R.4
-
21
-
-
0030673582
-
Training support vector machines: An application to face detection
-
New York, NY
-
Osuna, E., Freund, R. and Girosi, F. (1997) Training support vector machines: An application to face detection. Proceedings of Computer Vision and Pattern Recognition 1997 New York, NY pp. 130-136.
-
(1997)
Proceedings of Computer Vision and Pattern Recognition 1997
, pp. 130-136
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
22
-
-
0003425668
-
-
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
-
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
-
25
-
-
0002570938
-
Kernel principal component analysis
-
MIT Press, Cambridge, MA
-
Schölkopf, B., Smola, A. and Muller, K. R. (1999) Kernel principal component analysis. Advances in Kernel Methods-Support Vector Learning, pp. 293-306. MIT Press, Cambridge, MA
-
(1999)
Advances in Kernel Methods-Support Vector Learning
, pp. 293-306
-
-
Schölkopf, B.1
Smola, A.2
Muller, K.R.3
-
26
-
-
4043137356
-
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
-
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
-
28
-
-
0033322506
-
Artificial neural networks applied to financial forecasting
-
ASME Press
-
Trafalis, T. B. (1999) Artificial neural networks applied to financial forecasting. Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, pp. 1049-1054. ASME Press
-
(1999)
Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems
, pp. 1049-1054
-
-
Trafalis, T.B.1
-
31
-
-
0033329367
-
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
-
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
-
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
|