The application of artificial neural networks to exchange rate forecasting : the role of market microstructure variables / by Nikola Gradojevic and Jing Yang.  : FB3-2/100-23E-PDF

Artificial neural networks (ANN) are employed for high-frequency Canada/U.S. dollar exchange rate forecasting.--Abstract This paper examines whether introducing a market microstructure variable (that is, order flow) into a set of daily observations of macroeconomic variables (interest rate, crude oil price) together with an ANN technique can explain Canada/U.S. dollar exchange rate movement better than linear and random walk models. Two statistics are used to compare models: root-mean squared error (RMSE) and the percentage of correctly predicted exchange rate changes (PERC).--Introduction

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Ministère/Organisme Bank of Canada.
Titre The application of artificial neural networks to exchange rate forecasting : the role of market microstructure variables / by Nikola Gradojevic and Jing Yang.
Titre de la série Bank of Canada working paper1701-93972000-23
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Autres formats offerts Papier-[Anglais]
Note(s) "Artificial neural networks (ANN) are employed for high-frequency Canada/U.S. dollar exchange rate forecasting."--Abstract. "This paper examines whether introducing a market microstructure variable (that is, order flow) into a set of daily observations of macroeconomic variables (interest rate, crude oil price) together with an ANN technique can explain Canada/U.S. dollar exchange rate movement better than linear and random walk models. Two statistics are used to compare models: root-mean squared error (RMSE) and the percentage of correctly predicted exchange rate changes (PERC)."--Introduction.
The ISSN (1192-5434) for the print edition has been incorrectly copied in this electronic publication.
Résumé en français.
Information sur la publication Ottawa - Ontario : Bank of Canada December 2000.
Description 36p.figs., graphs, references, tables
ISSN 1701-9397
Numéro de catalogue
  • FB3-2/100-23E-PDF
Descripteurs Exchange rates
Currency
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