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

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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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Publication information
Department/Agency Bank of Canada.
Title The application of artificial neural networks to exchange rate forecasting : the role of market microstructure variables / by Nikola Gradojevic and Jing Yang.
Series title Working paper1192-5434100-23
Publication type Series - View Master Record
Language [English]
Format Paper
Other formats Electronic-[English]
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.
Bibliography.
Résumés en français
Publishing information Ottawa - Ontario : Bank of Canada 2000.
Binding Softcover
Description v, 27p. : figs., graphs, tables ; 28 cm.
ISSN 1192-5434
Catalogue number
  • FB3-2/100-23E
Subject terms Exchange rates
Currency
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