The purpose of this study is to contrast the forecasting performance of two non-linear models, a regime-switching vector autoregressive model (RS-VAR) and a recurrent neural network (RNN), to that of a linear benchmark VAR model. Our specific forecasting experiment is U.K. inflation and we...

Statistical analysis of genetic algorithms in discovering technical trading strategies / Chueh-Yung Tsao, Shu-Heng Chen -- Co-evolving neural networks with evolutionary strategies : a new application to divisia money / Jane M. Binner, Graham Kendall, Alicia Gazely -- Forecasting the EMU...

This paper uses several methods to study the interrelationship among Divisia monetary aggregates, prices, and income; allowing for non-stationary, non-linearities, asymmetries, and time-varying relationships among the series. We propose a multivariate regime switching unobserved components model...