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Directional accuracy, forecasting error and the profitability of currency trading: model-based evidence

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  • Imad Moosa
  • John Vaz

Abstract

Three models (the flexible-price monetary model, PPP and a univariate ARIMA model) are estimated for 45 currency pairs to find out if the profitability of forecasting-based currency trading is more related to the ability of the underlying model to predict the direction of change than the magnitude of the forecasting error. Theoretical considerations show that a correct prediction of the direction of change is neither a necessary nor a sufficient condition for a profitable trade. The results of the exercise indicate that profitability is more strongly correlated with directional accuracy than with the magnitude of the error.

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  • Imad Moosa & John Vaz, 2015. "Directional accuracy, forecasting error and the profitability of currency trading: model-based evidence," Applied Economics, Taylor & Francis Journals, vol. 47(57), pages 6191-6199, December.
    • Handle: RePEc:taf:applec:v:47:y:2015:i:57:p:6191-6199
    DOI: 10.1080/00036846.2015.1068917
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    Cited by:

    1. Imad Moosa & Kelly Burns, 2016. "The random walk as a forecasting benchmark: drift or no drift?," Applied Economics, Taylor & Francis Journals, vol. 48(43), pages 4131-4142, September.
    2. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    3. Kath, Christopher & Ziel, Florian, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Energy Economics, Elsevier, vol. 76(C), pages 411-423.

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