In this paper, we study the empirical relationship between credit funding sources and the financial vulnerability of the Colombian banking system. We propose a statistical model to measure and predict banking-fragility episodes associated with credit funding sources classified into retail...

Three methodologies of estimation of models with many predictors are implemented to forecast Colombian inflation. Two factor models, based on principal components, and partial least squares, as well as a Bayesian regression, known as Ridge regression are estimated. The methodologies are compared...

An application of Bayesian Model Averaging, BMA, is implemented to construct combined forecasts for the colombian inflation for the short and medium run. A model selection algorithm is applied over a set of linear models with a large dataset of potencial predictors using marginal as well as...

An application of Bayesian Model Averaging, BMA, is implemented to construct combined forecasts for the colombian inflation for the short and medium run. A model selection algorithm is applied over a set of linear models with a large dataset of potencial predictors using marginal as well as...

An application of Bayesian Model Averaging, BMA, is implemented to construct combined forecasts for the colombian inflation for the short and medium run. A model selection algorithm is applied over a set of linear models with a large dataset of potencial predictors using marginal as well as...

Colombia experienced a deep recession in 1999-2003. Growth slowed by 4.2%,and investment by 34.6%. Was the severity of the recession due to a ¯nan-cial accelerator mechanism µa la Bernanke, Gertler, and Gilchrist (1999)? Toanswer this question, this paper estimates a dynamic stochastic general...

Using Bayesian estimation techniques, we estimate a small open economyDSGE model with credit-market imperfections for the Colombian economy. Us-ing the estimated model we investigate what are the sources of business cycle°uctuations. We show that balance-sheet e®ects play an important role in...

This article analyzes identification problems that may arise while linearizing and solving DSGE models. A criterion is proposed to determine whether or not a set of parameters is partially identifiable, in the sense of Canova and Sala (2009), based on the computation of a basis for the null...

Este documento evalúa el grado de transmisión de corto y largo plazo sobre la inflación de los bienes importados de un choque a la depreciación del peso colombiano cuando se controla por el ciclo económico. Encontramos que la transmisión es mayor cuando la perturbación ocurre en un...

Typically, central banks use a variety of individual models (or a combination of models) when forecasting inflation rates. Most of these require excessive amounts of data, time, and computational power; all of which are scarce when monetary authorities meet to decide over policy interventions....