density forecasts between the linear and non-linear models. Finally, in a dynamic 25-step ex-ante and interval forecasting …

density forecasts between the linear and non-linear models. Finally, in a dynamic 25-step ex-ante and interval forecasting …

and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector … for Nevada’s economy. We conclude that non-linear models generally outperform linear models in forecasting future …

and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector …’s economy. We conclude that non-linear models generally outperform linear models in forecasting future movements in gross gaming …

and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector … for Nevada's economy. We conclude that non-linear models generally outperform linear models in forecasting future …

-stochastic-general-equilibrium models of the economy, may prove crucial in forecasting turning points. …

-stochastic-general-equilibrium models of the economy, may prove crucial in forecasting turning points. …

This paper presents a parsimonious model for forecasting and analysing euro area house prices and their interrelations …

interest about forecasting such imminent threats for economic stability. In this paper we propose a novel hybrid forecasting … Vector Regression (SVR) methodology that originates from machine learning. We test the forecasting ability of the proposed …-of-sample forecasting. Finally, we argue that this new methodology can be used as an early warning system for forecasting sudden house …

an ex ante forecasting exercise. Our results highlight the importance of information content in large number of …