Advanced Search
MyIDEAS: Login to save this paper or follow this series

Computational Intelligence in Exchange-Rate Forecasting

Contents:

Author Info

  • Andreas S. Andreou

    (University of Cyprus)

  • George A. Zombanakis

    ()
    (Bank of Greece)

Abstract

This paper applies computational intelligence methods to exchange rate forecasting. In particular, it employs neural network methodology in order to predict developments of the Euro exchange rate versus the U.S. Dollar and the Japanese Yen. Following a study of our series using traditional as well as specialized, non-parametric methods together with Monte Carlo simulations we employ selected Neural Networks (NNs) trained to forecast rate fluctuations. Despite the fact that the data series have been shown by the Rescaled Range Statistic (R/S) analysis to exhibit random behaviour, their internal dynamics have been successfully captured by certain NN topologies, thus yielding accurate predictions of the two exchange-rate series.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.bankofgreece.gr/BogEkdoseis/Paper200649.pdf
File Function: Full Text
Download Restriction: no

Bibliographic Info

Paper provided by Bank of Greece in its series Working Papers with number 49.

as in new window
Length: 43 pages
Date of creation: Nov 2006
Date of revision:
Handle: RePEc:bog:wpaper:49

Contact details of provider:
Web page: http://www.bankofgreece.gr
More information through EDIRC

Related research

Keywords: Exchange - rate forecasting; Neural networks;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Panayotis Kapopoulos & Sophia Lazaretou, 2005. "Does Corporate Ownership Structure Matter for Economic Growth? A Cross-Country Analysis," Working Papers 21, Bank of Greece.
  2. Martin D. D. Evans & Richard K. Lyons, 2005. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," American Economic Review, American Economic Association, vol. 95(2), pages 405-414, May.
  3. Kenneth D. West & Dongchul Cho, 1994. "The Predictive Ability of Several Models of Exchange Rate Volatility," NBER Technical Working Papers 0152, National Bureau of Economic Research, Inc.
  4. Kilian, Lutz & Taylor, Mark P, 2001. "Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates?," CEPR Discussion Papers 3024, C.E.P.R. Discussion Papers.
  5. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
  6. Hans Genberg, 2006. "Exchange-rate arrangements and financial integration in East Asia: on a collision course?," International Economics and Economic Policy, Springer, vol. 3(3), pages 359-377, December.
  7. Pesaran, M Hashem & Potter, Simon M, 1992. "Nonlinear Dynamics and Econometrics: An Introduction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S1-7, Suppl. De.
  8. Charles Engel & Kenneth D. West, 2004. "Accounting for Exchange Rate Variability in Present-Value Models When the Discount Factor is Near One," NBER Working Papers 10267, National Bureau of Economic Research, Inc.
  9. Marsh, Ian W. & Power, David M., 1996. "A note on the performance of foreign exchange forecasters in a portfolio framework," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 605-613, April.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Kristoufek, Ladislav, 2009. "Distinguishing between short and long range dependence: Finite sample properties of rescaled range and modified rescaled range," MPRA Paper 16424, University Library of Munich, Germany.
  2. Alexandros E. Milionis, 2006. "An Alternative Definition of Market Efficiency and some Comments on its Empirical Testing," Working Papers 50, Bank of Greece.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:bog:wpaper:49. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christina Tsochatzi).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.