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....

Two possibilities of analysis of economic cycles are studied in this document. Firstly, filter-design approaches consisting of the extraction of the information content of certain signals between two specific frequencies, as well as below or above certain frequencies. Secondly, model-based...

Spanish Abstract: La relación existente entre el riego y la rentabilidad de un activo financiero es una preocupación constante del inversionista a la hora de conformar su portafolio de inversión. La principal meta en la construcción del portafolio consiste en distribuir óptimamente la...

The multifractal model has demonstrated properly how to measure the complexity within economic systems when describing a time series with a spectrum; this tool offers the possibility to study local regularity for prior and after market crash detections. The main goal of this work is to show...

Este documento se concentra en el crecimiento del gasto público, definido aquí como la suma entre consumo público e inversión pública, como un determinante importante de la caída en la tasa de crecimiento del PIB argentino durante el período 1901 - 2000. Partiendo de un ejercicio de...

En este documento se establecen algunos hechos estilizados acerca del comportamiento de los precios regulados en Colombia. Se analiza el grado de rigidez de los precios en diferentes categorías de productos, con un énfasis particular en los precios regulados. En el documento se establece que...

En este documento se establecen algunos hechos estilizados acerca del comportamiento de los precios regulados en Colombia. Se analiza el grado de rigidez de los precios en diferentes categorías de productos, con un énfasis particular en los precios regulados. En el documento se establece que...

In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...

In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...

We propose a model to estimate the price volatility in of the Mexican Export Crude Oil Blend. The analysis relies on the conditional standard deviations obtained from a GARCH model. Data includes diary oil prices between January 2nd, 1998 and February 14th, 2007. The chosen model is of the GARCH...