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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 .

Author: Tkacz, Greg
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2001
Gross Domestic Product, Statistical Data Included, Research, Methods, Statistics, Monetary policy, Economic forecasting

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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.

Author: Rapach, David E., Wohar, Mark E., Rangvid, Jesper
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2005
United States, Analysis, Econometrics, Macroeconomics

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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.

Author: Olson, Dennis, Mossman, Charles
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2003
Neural network

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Subjects list: Usage, Computer networks, Canada, Neural networks, Stocks, Forecasts and trends, Market trend/market analysis
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