Asymmetric decentralization has become relevant in developing countries like Colombia, where capabilities between subnational governments differ dramatically. Although these discussions have been present since the 1960s, the success of decentralization is…
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- Publicación |Abstract
- Publicación |Abstract
We use Long Short Term Memory (LSTM) neural networks, a deep learning technique, to forecast Colombian headline inflation one year ahead through two approaches. The first one uses only information from the target variable, while the second one incorporates additional information from…
- Publicación |Abstract
We introduce a methodology for generating alerts of potential anti-competitive practices in the Colombian wholesale electricity market.
- Publicación |
The opinions contained in this document are the sole responsibility of the author and do not commit Banco de la República or its Board of Directors.
- Publicación |
The opinions contained in this document are the sole responsibility of the authors and do not commit Banco de la República or its Board of Directors.
RESUMEN NO TÉCNICO
- Publicación |
Economic activity nowcasting (i.e. making current-period estimates) is convenient because most traditional measures of economic activity come with substantial lags. We aim at nowcasting ISE, a short-term economic activity indicator in Colombia. Inputs are ISE’s lags and a dataset of payments…
- Publicación |
This paper examines inflation expectations of the World Economic Survey for ten inflation targeting countries. First, by a Self Organizing Maps methodology, we cluster the trajectory of agents inflation expectations using the beginning of the oil price shock occurred in June of 2014 as a…
- Publicación |
The balance sheet is a snapshot that portraits the financial position of a firm at a specific point of time. Under the reasonable assumption that the financial position of a firm is unique and representative, we use a basic artificial neural network pattern recognition method on Colombian banks…
- Publicación |
This document explores the predictive power of the yield curves in Latin America (Colombia, Mexico, Peru and Chile) taking into account the factors set by the specifications of Nelson & Siegel and Svensson. Several forecasting methodologies are contrasted: an autoregressive model, a vector…