This paper puts forward kernel ridge regression as an approach for forecasting with many predictors that are related nonlinearly to the target variable. In kernel ridge regression, the observed predictor variables are mapped nonlinearly into a high-dimensional space, where estimation of the...

Dating business cycle turning points / Marcelle Chauvet, James D. Hamilton -- A new framework to analyze business cycle synchronization / Jeffrey A. Modisett, Judge David J. Dreyer -- Non-linearity and instability in the Euro area / Massimiliano Marcellino -- Nonlinear modelling of...

We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...