We build a time varying DSGE model with financial frictions in order to evaluate changes in the responses of the macroeconomy to financial friction shocks. Using US data, we find that the transmission of the financial friction shock to economic variables, such as output growth, has not changed...

DSGE models have recently received considerable attention in macroeconomic analysis and forecasting. They are usually estimated using Bayesian methods, which require the computation of the likelihood function under the assumption that the parameters of the model remain fixed throughout the...

Estimation of conventional Taylor rules for Brazil, Chile, Colombia and Peru shows that central banks increase their repo rate in response to increases in the output gap and, except in Peru, to deviations of inflation expectations from target. Using a Markov-Switching methodology, it is found...

This paper proposes a novel and flexible framework to estimate autoregressive models with time-varying parameters. Our setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning-expectations and forgetting-factor algorithms. These are...

We demonstrate that short-run real exchange effective rate changes are dominated by nominal effective exchange rate changes, while inflation rates are sticky and contribute little to short-run real exchange rate changes. These observations allow a rather accurate real-time approximation of the...

This paper presents unprecedented exchange rate forecasting results, based upon a new model that approximates the gap between the fundamental equilibrium exchange rate and the actual exchange rate with the long-maturity forward exchange rate. The theoretical derivation of our forecasting...

This paper analyzes quantitatively the extent to which there is overborrowing (i.e., inefficient borrowing) in a business cycle model for emerging market economies with production and an occasionally binding credit constraint. The main finding of the analysis is that overborrowing is not a...

In this paper I have used copula functions to forecast the Value-at-Risk (VaR) of an equally weighted portfolio comprising a small cap stock index and a large cap stock index for the oil and gas industry. The following empirical questions have been analyzed: (i) are there nonnormalities in the...

This paper proposes a methodology for constructing a Financial Conditions Indicator (FCI) based on factor analysis and the approaches of Brave and Butters (2011) and Aramonte et al. (2013). A selected set of variables is used and their information content aggregated into a single index that...

This study develops a framework for forecasting selected balance sheet items of the four largest Maltese core banks, with a particular emphasis on bank profitability. Methodologically, it employs two multivariate time series models, namely a Factor-Augmented VAR (FAVAR) and a Bayesian VAR...