This paper proposes a recursive procedure that characterizes the order of the pole and the coecients of the Laurent series representation of the inverse of a regular analytic matrix function. The algorithm consists in performing a finite sequence of rank factorizations of matrices of...

In this paper, we exploit the heterogeneity in the forecasts obtained by estimating different factor models to measure forecast uncertainty. Our approach is simple and intuitive. It consists first in selecting all the models that outperform some benchmark model, and then in constructing an...

In this paper, we ask whether it is possible to forecast gross-value added (GVA) and its sectoral sub-components at the regional level. We are probably the first who evaluate sectoral forecasts at the regional level using a huge data set at quarterly frequency to investigate this issue. With an...

Provides analysis for a practical action planto implement pro-poor policies through macroeconomic initiatives. The study covers sequencing and implementation issues and provides estimates of both macro and significant microeconomic impacts. The major components of the study are (a) a general...

The U.S. during the 1984-2007 Great Moderation saw unusual macroeconomic stability combined with strong growth in asset prices and in credit relative to output. The distribution of credit shifted towards the financial and real estate sectors. The literature shows that each of these trends...

We propose a new methodology for ranking in probability the commonly proposed drivers of inflation in the New Keynesian model. The approach is based on Bayesian model selection among restricted VAR models, each of which embodies only one or none of the candidate variables as the driver....

We use factor augmented vector autoregressive models with time-varying coefficients to construct a financial conditions index. The time-variation in the parameters allows for the weights attached to each financial variable in the index to evolve over time. Furthermore, we develop methods for...

This paper proposes full-Bayes priors for time-varying parameter vector autoregressions (TVP-VARs) which are more robust and objective than existing choices proposed in the literature. We formulate the priors in a way that they allow for straightforward posterior computation, they require...

During the Great Moderation, financial innovation in the U.S. increased the size and scope of credit flows supporting the growth of wealth. We hypothesize that spending out of wealth came to finance a wider range of GDP components such that it smoothed GDP. Both these trends combined would be...

This paper investigates dynamic currency hedging benefits, with a further focus on the impact of currency hedging before and during the recent financial crises originated from the subprime and the Euro sovereign bonds. We take the point of view of a Euro-based institutional investor who...