Asymmetric Verification of Business Cycle by Forecasting Turning Points Based on Neural Networks

Abstract

This paper examines the relevance of various financial and economic indicators in forecasting business cycle turning points via neural networks (NN) models. We employ a feed forward neural network model to forecast turning points in the business cycle of China. The NN has as inputs thirteen indicators of economic activity and as output the probability of a… (More)

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