We estimate sectoral spillovers around the Great Moderation with the help of forecast error variance decomposition tables. Obtaining such tables in high dimensions is challenging because they are functions of the estimated vector autoregressive coefficients and the residual covariance matrix. In...

This paper presents the findings of the first pan-European survey of companies withinthe Fast Moving Consumer Goods sector. It provides a discussion on the definition ofshrinkage and presents data on the extent, nature and causes of stock loss throughout thesupply chain – from point of...

This empirical study examines the capital structure decisions of developing countries through a case study of Indian corporate sector by classifying the capital structure of 298 out of top 500 private sector manufacturing firms selected on the basis of sales turnover for the year 2004-2005 which...

This empirical study examines the capital structure decisions of developing countries through a case study of Indian corporate sector by classifying the capital structure of 298 out of top 500 private sector manufacturing firms selected on the basis of sales turnover for the year 2004-2005 which...

Un número creciente de aplicaciones utilizan escenarios en los que, para inferir efectos heterogéneos, un investigador compara distintas unidades. Ejemplos de diseños de investigación son aquellos que incluyen a niños que se mudan de barrio, trabajadores que cambian de empresa, pacientes...

Common high-dimensional methods for prediction rely on having either a sparse signal model, a model in which most parameters are zero and there are a small number of non-zero parameters that are large in magnitude, or a dense signal model, a model with no large parameters and very many small...

Common high-dimensional methods for prediction rely on having either a sparse signal model, a model in which most parameters are zero and there are a small number of non-zero parameters that are large in magnitude, or a dense signal model, a model with no large parameters and very many small...

This paper proposes a regularisation method for the estimation of large covariance matrices that uses insights from the multiple testing (MT) literature. The approach tests the statistical significance of individual pair-wise correlations and sets to zero those elements that are not...

This study uses a Bayesian VAR to demonstrate that the recent house price boom in Germany can be explained by falling interest rates and that higher interest rates are likely suciffient to stop the increase of German house prices. The latter suggests a potential drawback of the current monetary...