In this paper, we modelled the Colombian long run per capita economic growth (1925- 2005) using a Markov switching regime model with both fixed (FTP) and time-varying transition probabilities (TVTP) to explain regime changes in the economic growth. We found evidence of non-linearity in the per...

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....

We study the effect of shocks to the United States government bonds term premium on Latin American government bonds term premia. For doing so, we compute dynamic multipliers. Our main findings indicate that Latin American countries’ term premia respond permanently to changes in United States...

En este trabajo realizamos pruebas de detección y migración de burbujas en los precios de vivienda, divisas y acciones para un conjunto de siete países. Este conjunto de países incluye desarrollados y emergentes que se caracterizan por tener buena información histórica de precios de...

Este trabajo evalúa si las transformaciones de potencia (Box-Cox y en particular logarítmica) de series de tiempo mejoran la precisión de los pronósticos de modelos ARIMA ajustados a variables económicas de Colombia en dos periodos diferentes: 1980-1995 y 2002-2012. Se compara la habilidad...

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...

La toma de decisiones de política económica requiere estimaciones del comportamiento de la actividad económica en tiempo real. Sin embargo, la información utilizada solo está disponible a nivel de indicadores de actividad y de encuestas de opinión, los cuales suelen tener distintas...

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...

Este documento estima los efectos calendario sobre la industria manufacturera en Colombia para el periodo comprendido entre enero de 1990 y febrero de 2014. Para ello, se implementaron las metodologías de TRAMO-SEATS de Gómez y Maravall [1994, 1996] y TBATS de De~Livera et al. [2011]. Los...

This work presents some evidence of the nonlinear and inverse relationship between the share prices on the Bogotá stock market and the interest rate as measured by the interbank loan interest rate, which is to some extent affected by monetary policy. The model captures the stylised fact on this...