M. Kaboudan. The 4th International Workshop on Computational
Intelligence in Economics and Finance (CIEF'2005), page (CIEF-10). Marriott City Center, Salt Lake City, Utah, USA, (July 2005)
Abstract
genetic programming and artificial neural networks are
employed to forecast two different exchange rates, US
dollar/Japanese Yen and US dollar/Taiwan dollar.
Extended forecasts (that go beyond one-step-ahead)
obtained using the computational techniques were
compared with naive random walk predictions of the two
exchange rates. Sixteen-step-ahead forecasts obtained
using genetic programming outperformed the one- and
sixteen-step-ahead random walk US dollar/Taiwan dollar
exchange rate predictions. Further, sixteen-step-ahead
forecasts of the wavelet-transformed US dollar/Japanese
Yen exchange rate also using genetic programming
outperformed the sixteen-step-ahead random walk
predictions of the exchange rate.
%0 Conference Paper
%1 Kaboudan:2005:CIEF
%A Kaboudan, Mak
%B The 4th International Workshop on Computational
Intelligence in Economics and Finance (CIEF'2005)
%C Marriott City Center, Salt Lake City, Utah, USA
%D 2005
%E Wang, Paul P.
%K algorithms, genetic networks, neural programming, wavelets
%P (CIEF-10)
%T Computational Forecasting of Two Exchange Rates
%U http://bulldog2.redlands.edu/fac/mak_kaboudan/kaboudan_cief05.pdf
%X genetic programming and artificial neural networks are
employed to forecast two different exchange rates, US
dollar/Japanese Yen and US dollar/Taiwan dollar.
Extended forecasts (that go beyond one-step-ahead)
obtained using the computational techniques were
compared with naive random walk predictions of the two
exchange rates. Sixteen-step-ahead forecasts obtained
using genetic programming outperformed the one- and
sixteen-step-ahead random walk US dollar/Taiwan dollar
exchange rate predictions. Further, sixteen-step-ahead
forecasts of the wavelet-transformed US dollar/Japanese
Yen exchange rate also using genetic programming
outperformed the sixteen-step-ahead random walk
predictions of the exchange rate.
@inproceedings{Kaboudan:2005:CIEF,
abstract = {genetic programming and artificial neural networks are
employed to forecast two different exchange rates, US
dollar/Japanese Yen and US dollar/Taiwan dollar.
Extended forecasts (that go beyond one-step-ahead)
obtained using the computational techniques were
compared with naive random walk predictions of the two
exchange rates. Sixteen-step-ahead forecasts obtained
using genetic programming outperformed the one- and
sixteen-step-ahead random walk US dollar/Taiwan dollar
exchange rate predictions. Further, sixteen-step-ahead
forecasts of the wavelet-transformed US dollar/Japanese
Yen exchange rate also using genetic programming
outperformed the sixteen-step-ahead random walk
predictions of the exchange rate.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Marriott City Center, Salt Lake City, Utah, USA},
author = {Kaboudan, Mak},
biburl = {https://www.bibsonomy.org/bibtex/2430766809fd5db4f4f746e27d00beadb/brazovayeye},
booktitle = {The 4th International Workshop on Computational
Intelligence in Economics and Finance (CIEF'2005)},
editor = {Wang, Paul P.},
email = {Mak_kaboudan@Redlands.edu},
interhash = {60847a7ff3774d4c9c19fa92b11535ef},
intrahash = {430766809fd5db4f4f746e27d00beadb},
keywords = {algorithms, genetic networks, neural programming, wavelets},
month = {July 21-26},
notes = {http://www.aiecon.org/cief2005/schedule.htm},
pages = {(CIEF-10)},
timestamp = {2008-06-19T17:42:48.000+0200},
title = {Computational Forecasting of Two Exchange Rates},
url = {http://bulldog2.redlands.edu/fac/mak_kaboudan/kaboudan_cief05.pdf},
year = 2005
}