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Forecasting with Leading Economic Indicators — A Neural Network Approach

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Operations Research Proceedings 2002

Part of the book series: Operations Research Proceedings 2002 ((ORP,volume 2002))

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Abstract

There is variety of important issues associated with the problem of business cycle forecasting, especially regarding forecast methodology and forecast evaluation. Overall, we can say that macroeconomic forecasting has a fairly poor reputation (Granger 1996). Still, even with the recognition that forecasting business cycles is a very difficult task, we find some hopeful signs for future progress. Our research on forecasting has focused on development of new approach in forecasting with classical NBER leading indicators by applying neural networks.

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© 2003 Springer-Verlag Berlin Heidelberg

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Jagric, T. (2003). Forecasting with Leading Economic Indicators — A Neural Network Approach. In: Leopold-Wildburger, U., Rendl, F., Wäscher, G. (eds) Operations Research Proceedings 2002. Operations Research Proceedings 2002, vol 2002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55537-4_79

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  • DOI: https://doi.org/10.1007/978-3-642-55537-4_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00387-8

  • Online ISBN: 978-3-642-55537-4

  • eBook Packages: Springer Book Archive

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