This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the methodology originally developed by Litterman (1986) and Doan et al. (1984) and review alternative...

We use daily data on bank reserves and overnight interest rates to document a striking pattern in the high-frequency behavior of the U.S. market for federal funds: depository institutions tend to hold more reserves during the last few days of each “reserve maintenance period,” when the...

The paper presents a comparative analysis of macroeconomic dynamics of 18 Arab countries based on a panel vector autogression estimation. Comparing growth performance, fiscal and current account developments in these countries, the study concludes that (1) in the short run, external and...

Monetary policy in the euro area is conducted within a multicountry, multicultural, and multilingual context involving multiple central banking traditions. How does this heterogeneity affect the ability of economic agents to understand and to anticipate monetary policy by the European Central...

This paper assesses the roles of shocks, rules, and institutions as possible sources of procyclicality in fiscal policy. By employing parametric and nonparametric techniques, I reach the following four main conclusions. First, policymakers' reactions to the business cycle is different depending...

This paper investigates the sensitivity of Colombian GDP growth to the surroundingmacroeconomic environment. We estimate a Bayesian VAR model with informative steady-statepriors for the Colombian economy using quarterly data from 1995 to 2007. A variancedecomposition shows that world GDP growth...

This paper outlines a way to estimate transition matrices for use in credit risk modeling with a decades-old methodology that uses aggregate proportions data. This methodology is ideal for credit-risk applications where there is a paucity of data on changes in credit quality, especially at an...

This paper assesses the extent to which crashes in emerging market currencies are predictable using simple logit models based on lagged macroeconomic and financial data. To evaluate our model, we calculate trading strategies in which an investor goes long or short in the currency depending on...

There is strong evidence that interest rates and bond yield movements exhibit both stochastic volatility and unanticipated jumps. The presence of frequent jumps makes it natural to ask whether there is a premium for jump risk embedded in observed bond yields. This paper identifies a class of...