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Journal of Forecasting (15-11-2004)

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Journal of Forecasting

Copyright © 2004 John Wiley & Sons, Ltd.



 Article Information
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 Neural network versus econometric models in forecasting inflation
Journal of Forecasting
Volume 19, Issue 3, Date: April 2000, Pages: 201-217
Saeed Moshiri, Norman Cameron
Abstract  |  References  |  Full Text: PDF (205K)
 
 Neural networks and the multinomial logit for brand choice modelling: a hybrid approach
Journal of Forecasting
Volume 19, Issue 3, Date: April 2000, Pages: 177-200
Yves Bentz, Dwight Merunka
Abstract  |  References  |  Full Text: PDF (264K)
 
 Neural model identification, variable selection and model adequacy
Journal of Forecasting
Volume 18, Issue 5, Date: September 1999, Pages: 299-332
A.-P. N. Refenes, A. D. Zapranis
Abstract  |  References  |  Full Text: PDF (414K)
 
 Time series forecasting using neural networks: should the data be deseasonalized first?
Journal of Forecasting
Volume 18, Issue 5, Date: September 1999, Pages: 359-367
Michael Nelson, Tim Hill, William Remus, Marcus O'Connor
Abstract  |  References  |  Full Text: PDF (120K)
 
 A robust neural network filter for electricity demand prediction
Journal of Forecasting
Volume 15, Issue 6, Date: November 1996, Pages: 437-458
J. T. Connor
Abstract
 
 Forecasting Austrian IPOs: An application of linear and neural network error-correction models
Journal of Forecasting
Volume 15, Issue 3, Date: April 1996, Pages: 237-251
Christian Haefke, Christian Helmenstein
Abstract
 
 Forecast combining with neural networks
Journal of Forecasting
Volume 15, Issue 1, Date: January 1996, Pages: 49-61
R. Glen Donaldson, Mark Kamstra
Abstract
 
 How effective are neural networks at forecasting and prediction? A review and evaluation
Journal of Forecasting
Volume 17, Issue 5-6, Date: September - November 1998, Pages: 481-495
Monica Adya, Fred Collopy
Abstract  |  Full Text: PDF (170K)
 
 From financial information to strategic groups: a self-organizing neural network approach
Journal of Forecasting
Volume 17, Issue 5-6, Date: September - November 1998, Pages: 415-428
Carlos Serrano-Cinca
Abstract  |  Full Text: PDF (206K)
 
 Improving the pricing of options: a neural network approach
Journal of Forecasting
Volume 17, Issue 5-6, Date: September - November 1998, Pages: 369-388
Ulrich Anders, Olaf Korn, Christian Schmitt
Abstract  |  Full Text: PDF (303K)
 
 A neural network versus Black-Scholes: a comparison of pricing and hedging performances
Journal of Forecasting
Volume 22, Issue 4, Date: July 2003, Pages: 317-335
Henrik Amilon
Abstract  |  References  |  Full Text: PDF (132K)
 
 A neural network versus Black-Scholes: a comparison of pricing and hedging performances. Henrik Amilon. Journal of Forecasting 22 (4) 2003, 10-29
Journal of Forecasting
Volume 22, Issue 6-7, Date: September - November 2003, Pages: 551
Abstract  |  Full Text: PDF (21K)
 
 Neural network pruning applied to real exchange rate analysis
Journal of Forecasting
Volume 21, Issue 8, Date: December 2002, Pages: 559-577
Johan F. Kaashoek, Herman K. van Dijk
Abstract  |  References  |  Full Text: PDF (348K)
 
 Forecasting daily foreign exchange rates using genetically optimized neural networks
Journal of Forecasting
Volume 21, Issue 7, Date: November 2002, Pages: 501-511
Ashok K. Nag, Amit Mitra
Abstract  |  References  |  Full Text: PDF (99K)
 
 Forecasting and trading currency volatility: an application of recurrent neural regression and model combination
Journal of Forecasting
Volume 21, Issue 5, Date: August 2002, Pages: 317-354
Christian L. Dunis, Xuehuan Huang
Abstract  |  References  |  Full Text: PDF (389K)
 
 Predicting LDC debt rescheduling: performance evaluation of OLS, logit, and neural network models
Journal of Forecasting
Volume 20, Issue 8, Date: December 2001, Pages: 603-615
Douglas K. Barney, Janardhanan A. Alse
Abstract  |  References  |  Full Text: PDF (152K)
 
 Forecasting time-dependent conditional densities: a semi non-parametric neural network approach
Journal of Forecasting
Volume 19, Issue 4, Date: July 2000, Pages: 355-374
Christian Schittenkopf, Georg Dorffner, Engelbert J. Dockner
Abstract  |  References  |  Full Text: PDF (199K)
 
 A quantile regression neural network approach to estimating the conditional density of multiperiod returns
Journal of Forecasting
Volume 19, Issue 4, Date: July 2000, Pages: 299-311
James W. Taylor
Abstract  |  References  |  Full Text: PDF (109K)
 

 

 

European Journal of Operations Research

 

 

Journal of Business Forecasting

Denton (1995)

McMenamin (???)

Lee, Jung (1999)


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