## Abstract This paper employs a non‐parametric method to forecast high‐frequency Canadian/US dollar exchange rate. The introduction of a microstructure variable, order flow, substantially improves the predictive power of both linear and non‐linear models. The non‐linear models outperform random wa
Linear and Non-linear (Non-)Forecastability of High-frequency Exchange Rates
✍ Scribed by CHRIS BROOKS
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 222 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0277-6693
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✦ Synopsis
This paper forecasts Daily Sterling exchange rate returns using various naive, linear and non-linear univariate time-series models. The accuracy of the forecasts is evaluated using mean squared error and sign prediction criteria. These show only a very modest improvement over forecasts generated by a random walk model. The Pesaran±Timmerman test and a comparison with forecasts generated arti®cially shows that even the best models have no evidence of market timing ability.
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