We develop early warning models for financial crisis prediction by applying machine learning techniques to macrofinancial data for 17 countries over 1870-2016. Most nonlin-ear machine learning models outperform logistic regression in out-of-sample predictions and forecasting. We identify...

We construct and explore a new quarterly dataset covering crisis episodes in 40 developed countries over 1970–2010. First, we examine stylized facts of banking, debt, and currency crises. Banking turmoil was most frequent in developed economies. Using panel vector autoregression, we confirm...

A growing number of papers have studied positive and normative implications of financial frictions in DSGE models. We contribute to this literature by studying the welfare-based monetary policy in a two-country model characterized by financial frictions, alongside a number of key features, like...

This paper analyzes the predictability of emerging market currency crises by comparing the often used probit model to a new method, namely a multi-layer perceptron artificial neural network (ANN) model. According to the results, both models were able to signal currency crises reasonably well...

The impact of currency collapses (i.e. large nominal depreciations or devaluations) on real output remains unsettled in the empirical macroeconomic literature. This paper provides new empirical evidence on this relationship using a dataset for 108 emerging and developing economies for the period...

The impact of currency collapses (i.e. large nominal depreciations or devaluations) on real output remains unsettled in the empirical macroeconomic literature. This paper provides new empirical evidence on this relationship using a dataset for 108 emerging and developing economies for the period...

We identify a set of “rules of thumb” that characterise economic, financial and structural conditions preceding the onset of banking and currency crises in 36 advanced economies over 1970-2010. We use the Classification and Regression Tree methodology (CART) and its Random Forest (RF)...

The empirical literature on systemic banking crises (SBCs) has shown that SBCs are rare events that break out in the midst of credit intensive booms and bring about particularly deep and long-lasting recessions. We attempt to explain these phenomena within a dynamic general equilibrium model...

We develop an N-country model with stock markets in which closed-form solutions for the real exchange rate is derived. Our model allows for a given number of risky-assets, which form an incomplete market. Risky asset prices and allocations of risky assets among countries are determined...

This paper estimates export and import price equations for 41 countries –including 28 emerging market economies. Further, it relates the estimated elasticities to structural factors and tests for statistical breaks in the relation between trade prices and exchange rates. Results indicate that...