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An evaluation of UK risky money: an artificial intelligence approach
by Jane M. Binner, Alicia M. Gazely, Graham Kendall
Global Business and Economics Review (GBER), Vol. 11, No. 1, 2009


Abstract: In this paper we compare the performance of three indices in an inflation forecasting experiment. The evidence not only suggests that an evolved neural network is superior to traditionally trained networks in the majority of cases, but also that a risky money index performs at least as well as the Bank of England Divisia index when combined with interest rate information. Notably, the provision of long-term interest rates improves the out-of-sample forecasting performance of the Bank of England Divisia index in all cases examined.

Online publication date: Wed, 20-May-2009


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