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....

Typically, when forecasting inflation rates, there are a variety of individual models and a combination of several of these models. We implement a Bayesian shrinkage combination methodology to include information that is not captured by the individual models using expert forecasts as prior...

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...

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...

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...

Este documento reporta los resultados de la estimación de una versión reciente del modelo P-estrella de Gerlach y Svensson (2003) para Colombia (1980: I - 2005: IV) y sus predicciones. El modelo está diseñado para explicar la brecha de inflación (tasa observada menos la meta) con base en...

Pronosticar la inflación de alimentos es uno de los grandes retos del Banco central, debido a la altaponderación de los alimentos dentro del IPC y puesto que los rubros que conforman este grupoobedecen principalmente a factores de oferta que no son fácilmente predecibles ni reaccionan a...

En países como Colombia en donde se sigue una estrategia de inflación objetivo es fundamentalpara el Banco Central contar con buenos modelos para pronosticar la inflación. En estedocumento se comparan los pronósticos de inflación obtenidos a partir de un modelo de Curvade Phillips usando...