This document reviews the potential macroeconomic effects of issuing a central bank digital currency (CBDC) for the use of individuals and businesses. A careful selection of the architecture, and the economic and technological design aspects of this digital form of central bank money…
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We examine the extent in which the ratios of book-to-market and earnings-to-price predict excess asset returns in an emerging market economy like Colombia. We want to find the magnitude in which these ratios help to forecast excess returns and if there is any evidence …
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Since July 2021, Banco de la República strengthened its forecasting process and communication instruments, by involving predictive densities in the projections of its models, PATACON and 4GM. This paper presents the main theoretical and empirical elements of the predictive density…
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This paper proposes an empirical model to identify and forecast banking fragility episodes using information on the credit funding sources. We predict the probability of occurrence of such episodes 0, 3 and 6 months ahead employing a Bayesian Model Averaging of logistic regressions. The…
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We present a stochastic frontier model with random inefficiency parameters which is able to capture the influence of risk-taking on bank efficiency and that distingues those effects among banks with different characteristics. Cost and profit efficiency are found to be over- and underestimated…
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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…
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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.…
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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…
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Can frictionless small open economy models driven solely by technology shocks account for business cycles in developing countries? We do not find evidence of it. We build a DSGE model that jointly includes a variety of real perturbations in addition to technology shocks, such as procyclical…
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Colombia experienced a deep recession in 1999-2003. Growth slowed by 4.2%, and investment by 34.6%. Was the severity of the recession due to a financial accelerator mechanism á la Bernanke, Gertler, and Gilchrist (1999)? To answer this question, this paper estimates a dynamic stochastic general…
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Using Bayesian estimation techniques, we estimate a small open economy DSGE model with credit-market imperfections for the Colombian economy. Using the estimated model we investigate what are the sources of business cycle fluctuations. We show that balance-sheet effects play an important role in…
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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…