Neural network forecasting of Canadian GDP growth
Article Abstract:
The National Bureau of Economic Research uses indicators from economic activity data. Research has found that, while no model is accurate for one-quarter forecasts, a neural network model has fewer errors in four-quarter forecasts for the Canadian gross domestic product .
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2001
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Macro variables and international stock return predictability
Article Abstract:
An econometric methodology is presented to re-examine the predictive ability of macroeconomic variables on stock returns in international data.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2005
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Neural network forecasts of Canadian stock returns using accounting ratios
Article Abstract:
Neural networks prove to be better forecasting tools than others when estimating Canadian stock market returns.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2003
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