Forecasting exchange rates using genetic algorithms

References

• Alvarez , A. , Lopez , C. , Riera , M. , Hern´ndez-Garcia , E. and Tintore , J. 2000 . Forecasting the SST space-time variability of the Alboran Sea with genetic algorithms . Geophysical Research Letters , 27 : 2709 – 2712 .
   Web of Science ®Google Scholar
• Alvarez , A. , Orfila , A. and Tintore , J. 2001a . DARWIN - an evolutionary program for nonlinear modeling of chaotic time series . Computer Physics Communications , in press
   Google Scholar
• Alvarez , A. , Harrison , C. and Siderius , M. 2001b . Predicting underwater ocean noise with genetic algorithms . Physics Letters A , in press
   Google Scholar
• Casdagli . 1989 . Nonlinear prediction of chaotic time series . Physica D , 35 : 335 – 356 .
   Web of Science ®Google Scholar
• Chinn , M. D. 1991 . Some linear and nonlinear thoughts on exchange rates . Journal of International Money and Finance , 10 : 214 – 230 .
   Web of Science ®Google Scholar
• Cornell . 1977 . Spot rates, forward rates and exchange market efficiency . Journal of Financial Economics , 5 : 55 – 65 .
   Web of Science ®Google Scholar
• Diebold , F. X. and Nason , J. A. 1990 . Nonparametric exchange rate prediction? . Journal of International Economics , 28 : 315 – 332 .
   Web of Science ®Google Scholar
• Engel , C. and Hamilton , J. 1990 . Long swings in the exchange rates: are they in the data do the markets know it? . American Economic Review , 80 : 689 – 713 .
   Web of Science ®Google Scholar
• Frenkel , J. A. 1981 . Flexible exchange rates, prices, and the role of news: lessons from the 1970s . Journal of Political Economy , 89 : 665 – 705 .
   Web of Science ®Google Scholar
• Holland , J. H. 1992 . Adaptation in Natural and Artifitial Systems , Ann Arbor : The University of Michigan Press .
   Google Scholar
• Hsieh , D. A. 1989 . Testing for nonlinear dependence in daily foreign exchange rates . Journal of Business , 62 : 329 – 368 .
   Google Scholar
• Kuan , C. M. and Liu , T. 1995 . Forecasting exchange rates using feedforward and recurrent neural networks . Journal of Applied Econometrics , 10 : 347 – 364 .
   Web of Science ®Google Scholar
• Löpez , C. , Älvarez , A. and Hernändez-Garcia , E. 2000 . Forecasting confined spatiotemporal chaos with genetic algorithms . Physical Review Letters , 85 : 2300 – 2303 .
   Google Scholar
• Meese , R. and Rogoff , K. 1983 . Empirical exchange rate models of the 1970s: do they fit out of sample? . Journal of International Economics , 14 : 3 – 24 .
   Web of Science ®Google Scholar
• Meese , R. and Roose , A. 1990 . Non-linear, non-parametric, nonessential exchange rate estimation . The American Economic Review , 80 : 192 – 196 .
   Web of Science ®Google Scholar
• Meese , R. and Roose , A. 1991 . An empirical assessmentof nonlinearities in models of exchange rate determination . Review of Econometric Studies , 58 : 601 – 619 .
   Google Scholar
• Mizrach , B. 1992 . Forecast comparison in L ₂ , University of Pennsylvania . Working paper
   Google Scholar
• Newbold , P. , Rainer , T. , Kellard , N. and Ennew , C. 1998 . Is the dollar/ECU exchange rate a random walk? . Applied Financial Economics , 8 : 553 – 558 .
   Google Scholar
• Plasmans , J. , Verkooijen , W. and Daniels , H. 1998 . Estimating structural exchange rate models by artificial neural networks . Applied Financial Economics , 8 : 541 – 551 .
   Google Scholar
• Szpiro , G. G. 1997a . Forecasting chaotic time series with genetic algorithm . Physical Review E , 55 : 2557 – 2568 .
   Web of Science ®Google Scholar
• Szpiro , G. G. 1997b . A search for hidden relationships: data mining with genetic algorithms, Comp . Economica , 10 : 267 – 277 .
   Google Scholar
• Takens , F. 1981 . “ Detecting strange attractors in turbulence ” . In Dynamical Systems and Turbulence , Edited by: Rand and Young . 366 – 381 . Berlin : Springer .
   Google Scholar
• Yadavalli , V. K. , Dahale , R. K. , Tambe , S. S. and Kulkarni , B. D. 1999 . Obtaining functional form for chaotic time series evolution using genetic algorithm . American Institute of Physics , 9 ( 3 )
   Google Scholar