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3 Results

A New Approach to Infer Changes in the Synchronization of Business Cycle Phases

Staff Working Paper 2014-38 Danilo Leiva-Leon
This paper proposes a Markov-switching framework to endogenously identify the following: (1) regimes where economies synchronously enter recessionary and expansionary phases; and (2) regimes where economies are unsynchronized, essentially following independent business cycles.

Forecasting GDP Growth Using Artificial Neural Networks

Staff Working Paper 1999-3 Greg Tkacz, Sarah Hu
Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]