Speculative strategies in the foreign exchange market based on genetic programming predictions

  1. Marcos Alvarez Díaz
Zeitschrift:
Applied financial economics

ISSN: 0960-3107

Datum der Publikation: 2010

Ausgabe: 20

Nummer: 4-6

Seiten: 465-476

Art: Artikel

DOI: 10.1080/09603100903459782 DIALNET GOOGLE SCHOLAR

Andere Publikationen in: Applied financial economics

Zusammenfassung

In this article, we investigate the out-of-sample forecasting ability of a Genetic Program (GP) to approach the dynamic evolution of the yen/US dollar and British pound/US dollar exchange rates, and verify whether the method can beat the random walk model. Later on, we use the predicted values to generate a trading rule and we check the possibility of obtaining extraordinary profits in the foreign exchange market. Our results reveal a slight forecasting ability for one-period-ahead, which is lost when more periods ahead are considered. On the other hand, our trading strategy obtains above-normal profits. However, when transaction costs are incorporated, the profits practically disappear or become negative.