-
1
-
-
42449156579
-
Generalized autoregressive conditional heteroskedasticity
-
Bollerslev T. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 31 (1986) 307-327
-
(1986)
Journal of Econometrics
, vol.31
, pp. 307-327
-
-
Bollerslev, T.1
-
2
-
-
0037381038
-
Support vector machines experts for time series forecasting
-
Cao L.J. Support vector machines experts for time series forecasting. Neurocomputing 51 (2002) 321-339
-
(2002)
Neurocomputing
, vol.51
, pp. 321-339
-
-
Cao, L.J.1
-
3
-
-
0442297703
-
Regression neural network for error correction in foreign exchange forecasting and trading
-
Chen A.-S., and Leung M.T. Regression neural network for error correction in foreign exchange forecasting and trading. Computers and Operations Research 31 (2004) 1049-1068
-
(2004)
Computers and Operations Research
, vol.31
, pp. 1049-1068
-
-
Chen, A.-S.1
Leung, M.T.2
-
5
-
-
0000346734
-
A subordinate stochastic process model with finite variance for speculative price
-
Clark P.K. A subordinate stochastic process model with finite variance for speculative price. Econometrica 41 (1973) 135-155
-
(1973)
Econometrica
, vol.41
, pp. 135-155
-
-
Clark, P.K.1
-
6
-
-
9144254003
-
Time series forecasting with SOM and local non-linear models-application to the DAX30 index prediction
-
S. Dablemont, G. Simon, A. Lendasse, A. Ruttiens, F. Blayo, M. Verleysen, Time series forecasting with SOM and local non-linear models-application to the DAX30 index prediction, in: Proceedings of WSOM'03, 2003, pp. 340-345.
-
(2003)
Proceedings of WSOM'03
, pp. 340-345
-
-
Dablemont, S.1
Simon, G.2
Lendasse, A.3
Ruttiens, A.4
Blayo, F.5
Verleysen, M.6
-
8
-
-
0343337355
-
Much ado about nothing? Exchange rate forecasting: neural networks vs. linear models using monthly and weekly data
-
Hann T.H., and Steurer E. Much ado about nothing? Exchange rate forecasting: neural networks vs. linear models using monthly and weekly data. Neurocomputing 10 (1996) 323-339
-
(1996)
Neurocomputing
, vol.10
, pp. 323-339
-
-
Hann, T.H.1
Steurer, E.2
-
10
-
-
0037403617
-
Why is it so difficult to beat random walk forecast of exchange rates
-
Kilian L., and Taylor M.P. Why is it so difficult to beat random walk forecast of exchange rates. Journal of International Economics 60 (2003) 85-107
-
(2003)
Journal of International Economics
, vol.60
, pp. 85-107
-
-
Kilian, L.1
Taylor, M.P.2
-
11
-
-
0036027191
-
Forecasting financial time series using neural network and fuzzy system-based techniques
-
Kodogiannis V., and Lolis A. Forecasting financial time series using neural network and fuzzy system-based techniques. Neural Computing and Applications 11 (2002) 90-102
-
(2002)
Neural Computing and Applications
, vol.11
, pp. 90-102
-
-
Kodogiannis, V.1
Lolis, A.2
-
13
-
-
33646450452
-
Time series prediction using recurrent SOM with local linear models
-
B15, Helsinki University of Technology, Laboratory of Computational Engineering
-
T. Koskela, M. Varsta, J. Heikkonen, K. Kaski, Time series prediction using recurrent SOM with local linear models, Research Reports B15, Helsinki University of Technology, Laboratory of Computational Engineering, 1997.
-
(1997)
Research Reports
-
-
Koskela, T.1
Varsta, M.2
Heikkonen, J.3
Kaski, K.4
-
15
-
-
0043278949
-
Self-organizing maps for spatial and temporal AR models
-
Helsinki, Finland
-
J. Lampinen, E. Oja, Self-organizing maps for spatial and temporal AR models, in: Proceedings of 6th SCIA, Helsinki, Finland, 1989, pp. 120-127.
-
(1989)
Proceedings of 6th SCIA
, pp. 120-127
-
-
Lampinen, J.1
Oja, E.2
-
17
-
-
0000642461
-
On the distribution of stock price differences
-
Mandelbrot B., and Taylor H. On the distribution of stock price differences. Operations Research 15 (1969) 1057-1062
-
(1969)
Operations Research
, vol.15
, pp. 1057-1062
-
-
Mandelbrot, B.1
Taylor, H.2
-
18
-
-
0035392124
-
Modeling exchange rates: smooth transitions, neural networks, and linear models
-
Medeiros M.C., Veiga A., and Pedreira C.E. Modeling exchange rates: smooth transitions, neural networks, and linear models. IEEE Transactions on Neural Networks 12 (2001) 755-764
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 755-764
-
-
Medeiros, M.C.1
Veiga, A.2
Pedreira, C.E.3
-
19
-
-
33846907054
-
Empirical exchange rate models of the seventies: do they fit out of sample?
-
Meese R.A., and Rogoff K. Empirical exchange rate models of the seventies: do they fit out of sample?. Journal of International Economics 14 (1983) 3-24
-
(1983)
Journal of International Economics
, vol.14
, pp. 3-24
-
-
Meese, R.A.1
Rogoff, K.2
-
20
-
-
84956628443
-
Predicting time series with support vector machines
-
Gerstner W., Germond A., Hasler M., and Nicoud J.-D. (Eds), Springer, Berlin
-
Müller K.-R., Smola A., Rätsch G., Schölkopf B., Kohlmorgen J., and Vapnik V. Predicting time series with support vector machines. In: Gerstner W., Germond A., Hasler M., and Nicoud J.-D. (Eds). Artificial Neural Networks-ICANN'97 (1997), Springer, Berlin 999-1004
-
(1997)
Artificial Neural Networks-ICANN'97
, pp. 999-1004
-
-
Müller, K.-R.1
Smola, A.2
Rätsch, G.3
Schölkopf, B.4
Kohlmorgen, J.5
Vapnik, V.6
-
21
-
-
0000641348
-
Conditional heteroskedasticity in asset returns: a new approach
-
Nelson D.B. Conditional heteroskedasticity in asset returns: a new approach. Econometrica 59 (1991) 347-370
-
(1991)
Econometrica
, vol.59
, pp. 347-370
-
-
Nelson, D.B.1
-
22
-
-
33745903869
-
Recurrent self-organising maps and local support vector machine models for exchange rate prediction
-
H. Ni, H. Yin, Recurrent self-organising maps and local support vector machine models for exchange rate prediction, in: Lecture Notes on Computer Science, vol. 3973, 2006, pp. 504-511.
-
(2006)
Lecture Notes on Computer Science
, vol.3973
, pp. 504-511
-
-
Ni, H.1
Yin, H.2
-
23
-
-
38449119531
-
Self-organising maps and local MLP models for exchange rate prediction
-
Loughborough, England
-
H. Ni, H. Yin, Self-organising maps and local MLP models for exchange rate prediction, in: Proceedings of the 12th CACSC, Loughborough, England, 2006.
-
(2006)
Proceedings of the 12th CACSC
-
-
Ni, H.1
Yin, H.2
-
27
-
-
84887252594
-
-
MIT Press, Cambridge, MA
-
V. Vapnik, S. Golowich, A. Smola, Support vector method for function approximation, regression estimation, and signal processing, Advances in Neural Information Processing Systems, vol. 9, MIT Press, Cambridge, MA, 1997, pp. 281-287.
-
(1997)
Support vector method for function approximation, regression estimation, and signal processing, Advances in Neural Information Processing Systems
, vol.9
, pp. 281-287
-
-
Vapnik, V.1
Golowich, S.2
Smola, A.3
-
28
-
-
0036790884
-
Recursive self-organising maps
-
Voegtlin T., and Dominey P.F. Recursive self-organising maps. Neural Networks 15 (2002) 979-991
-
(2002)
Neural Networks
, vol.15
, pp. 979-991
-
-
Voegtlin, T.1
Dominey, P.F.2
-
29
-
-
84936895973
-
Adaptive antenna systems
-
Widrow B., Mantey P.E., Griffiths J.L., and Goode B.B. Adaptive antenna systems. Proceedings of IEEE 55 12 (1967) 2143-2159
-
(1967)
Proceedings of IEEE
, vol.55
, Issue.12
, pp. 2143-2159
-
-
Widrow, B.1
Mantey, P.E.2
Griffiths, J.L.3
Goode, B.B.4
-
32
-
-
0035390996
-
Multiresolution forecasting for future trading using wavelet decompositions
-
Zhang B.L., Coggins R., Jabri M.A., Dersch D., and Flower B. Multiresolution forecasting for future trading using wavelet decompositions. IEEE Transactions on Neural Networks 12 (2001) 765-775
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 765-775
-
-
Zhang, B.L.1
Coggins, R.2
Jabri, M.A.3
Dersch, D.4
Flower, B.5
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