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...

We characterise the probability distributions of various categories of gross capital flows conditional on information contained in financial asset prices in a panel of emerging market economies, with a focus on "tail" events. Our framework, based on the quantile regression methodology, allows...

This paper proposes a semi-structural approach to identifying excessive household credit developments. Using an overlapping generations model, a normative trend level for the real household credit stock is derived that depends on four fundamental economic factors: real potential GDP, the...

Using count-data techniques, this paper studies the determinants of currency choice in the issuance of foreign-currency-denominated bonds. In particular, we investigate whether bond issuers choose their issuance currency in order to exploit the borrowing-cost savings associated with deviations...

We study a model in which policy aims at aggregate price stability. A fiscal imbalance materializes that, if uncorrected, must cause inflation, but the imbalance may get corrected in the future with some probability. By maintaining price stability in the near term, monetary policy can buy time...

How does global risk impact the world economy? In taking up this question, we focus on the dollar’s role in the international adjustment mechanism. First, we rely on high-frequency surprises in the price of gold to identify the effects of global risk shocks in a Bayesian Proxy VAR model. They...