This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...

This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...

This paper examines the Swedish experience of forward guidance 2007-2018. We focus on three interrelated issues: first, the effects of forward guidance on the discussion within the Board of Directors of the Riksbank, second, on the communication between the Riksbank and the public, and third, on...

We model term structure dynamics using a recursive cascade of heterogeneously persistent factors. The cascade naturally orders the factors by their adjustment speeds, and generates smooth zero-coupon bond prices and forward curves in closed form. For a class of specifications, the number of...

On 11-12 May 2011, SUERF and the Belgian Financial Forum, in association with the Brussels Finance Institute and the Centre for European Policy Studies (CEPS) organized the 29th SUERF Colloquium “New Paradigms in Money and Finance?” All the papers in the present SUERF Study are based on...

On 11-12 May 2011, SUERF and the Belgian Financial Forum, in association with the Brussels Finance Institute and the Centre for European Policy Studies (CEPS) organized the 29th SUERF Colloquium "New Paradigms in Money and Finance?". All the papers in the present SUERF Study are based on...

This paper assesses the performance of a number of long-term interest rate forecast approaches, namely time series models, structural economic models, expert forecasts and combinations thereof. The predictive performance of these approaches is compared using out of sample forecast errors, where...