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Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models

Carriero, Andrea; Kapetanios, George; Marcellino, … - C.E.P.R. Discussion Papers - 2009

The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we … propose three alternative reduced rank forecasting models and compare their predictive performance for US time series with the …

Persistent link: https://www.econbiz.de/10008528528

Forecasting EMU Macroeconomic Variables

Marcellino, Massimiliano - C.E.P.R. Discussion Papers - 2002

variables. Hence, both the fiscal and the monetary authorities have developed aggregate forecasting models, along the lines … over-fit in sample, we assess their performance in a real time forecasting framework. It turns out that for several … forecasting and modeling EMU variables. …

Persistent link: https://www.econbiz.de/10005124368

Common Drifting Volatility in Large Bayesian VARs

Carriero, Andrea; Clark, Todd; Marcellino, Massimiliano - C.E.P.R. Discussion Papers - 2012

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...

Persistent link: https://www.econbiz.de/10011083279

Bayesian VARs: Specification Choices and Forecast Accuracy

Carriero, Andrea; Clark, Todd; Marcellino, Massimiliano - C.E.P.R. Discussion Papers - 2011

In this paper we discuss how the forecasting performance of Bayesian VARs is affected by a number of specification … lag length and of both; compare alternative approaches to h-step ahead forecasting (direct, iterated and pseudo …

Persistent link: https://www.econbiz.de/10008854551