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Large vector autoregressions with asymmetric priors

Carriero, Andrea; Clark, Todd E.; Marcellino, Massimiliano - 2015

We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...

Persistent link: https://www.econbiz.de/10011460766

Forecasting large datasets with reduced rank multivariate models

Carriero, Andrea; Kapetanios, George; Marcellino, … - 2007

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 with the most promising …

Persistent link: https://www.econbiz.de/10010284099

Forecasting government bond yields with large Bayesian VARs

Carriero, Andrea; Kapetanios, George; Marcellino, … - 2010

We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the … forecasting performance of our proposed model relative to most of the existing alternative specifications. While most of the … useful for forecasting. …

Persistent link: https://www.econbiz.de/10010286274