The central counterparties dominating the market for the clearing of over-the-counter interest rate and credit derivatives are globally systemic. Employing methodologies similar to the calculation of banks' capital requirements against trading book exposures, this paper assesses the sensitivity...

Wide-ranging structural reforms are underway in Italy, aimed at addressing key bottlenecks in the product and labor markets. Our analysis, based on the IMF's Global Integrated Monetary and Fiscal model (GIMF), attempts to quantify the potential gains to the economy from a comprehensive package...

The central counterparties dominating the market for the clearing of over-the-counter interest rate and credit derivatives are globally systemic. Employing methodologies similar to the calculation of banks' capital requirements against trading book exposures, this paper assesses the sensitivity...

We leverage insights from machine learning to optimize the trade off between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that estimates the similarity of economic structures across countries and selects the optimal pool of...

We develop a framework to nowcast (and forecast) economic variables with machine learning techniques. We explain how machine learning methods can address common shortcomings of traditional OLS-based models and use several machine learning models to predict real output growth with lower forecast...

We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms' accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient...

Vessel traffic data based on the Automatic Identification System (AIS) is a big data source for nowcasting trade activity in real time. Using Malta as a benchmark, we develop indicators of trade and maritime activity based on AIS-based port calls. We test the quality of these indicators by...

Imposing cointegration on a forecasting system, if cointegration is present, is believed to improve long-horizon forecasts. Contrary to this belief, at long horizons nothing is lost by ignoring cointegration when the forecasts are evaluated using standard mutivariate forecast accuracy measures....

We use a general-equilibrium model to explain the rise in global trade and payments imbalances since the mid-1990s, and then to construct adjustment paths to a steady state. Assuming that the shocks giving rise to the imbalances do not suddenly reverse, simulated movements in the U.S. trade...

We apply the fundamentals equilibrium exchange rate (FEER) approach and the Johansen cointegration methodology to investigate the behavior of the real effective exchange rates of the two monetary unions of the CFA franc zone (CEMAC and WAEMU) vis-agrave;-vis their long-run equilibrium paths. For...