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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
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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
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Leading Indicators: What Have We Learned?
Marcellino, Massimiliano - C.E.P.R. Discussion Papers - 2005
the most relevant recent developments in this field of economic forecasting. To begin with, we analyse the problem of … leading indicator based forecasts, and review the recent literature on the forecasting performance of leading indicators. …
Persistent link: https://www.econbiz.de/10005666459
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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