This paper contains the results of a non parametric multi-step ahead forecast for the monthly Colombian inflation, using Mean conditional Kernel estimation over inflation changes, with no inclusion of exogenous variables. The results are compared with those from an ARIMA and a nonlinear STAR....

En este artículo se explora empíricamente el vínculo entre la volatilidad y el desalineamiento de la tasa de cambio real (TCR) con la actividad de las empresas en Colombia durante el período 2000-2011. Se analiza su efecto sobre las ventas externas, la productividad, la inversión y las...

Este trabajo pretende determinar qué conjunto de rigideces nominales y reales se debe incluir en un modelo DSGE para replicar la dinámica de las variables agregadas de la economía colombiana. Con este fin, se estiman varios modelos DSGE con distintas combinaciones de rigideces nominales y...

In a dynamic, stochastic, general equilibrium model,we explore the optimal response of the inhabitans of a closed economy to an inefficient ad hoc financial system that in its intermediation duty looses a fraction of aggregate savings which otherwise would become aggregate investment. The...

Este documento analiza la relación existente entre la deuda externa pública y la inversión privada para Colombia entre 1994 y 2007, a partir del modelo de series de tiempo no lineales TAR. La estimación del modelo se realizó a través de los métodos MCMC y el enfoque bayesiano. Los...

Derivatives are contingent claims that complete financial markets. Their use allow agents and firms to ameliorate the impact over con- sumption, production and investment given a change in relative prices induced by an active monetary policy. In this sense, derivatives gene- rate in some cases a...

This paper investigates whether transforming the Consumer Price Index with a class of power transformations lead to an improvement of inflation forecasting accuracy. We use one of the prototypical models to forecast short run inflation which is known as the univariate time series ARIMA . This...

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...

En este trabajo se analizan algunos aspectos de la regulación relacionada con el manejo del riesgo de mercado establecida por la Superintendencia Financiera de Colombia, donde se propone el valor en riesgo (VaR) como la medida para cuantificar este tipo de riesgo. No obstante, esta regulación...

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...