Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are...

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...

This paper analyzes the effects of IMF member countries participation in the IMF’s Data Standards Initiatives (DSI) on the statistical quality of WEO forecasts. Results show that WEO forecasts for SDDS subscribers are in general better than for GDDS participants and those member countries than...

This paper analyzes the availability, methodological soundness, and scope of Consumer Price statistics in IMF member and non-member countries in 2020. Consumer price statistics are instrumental in the development of monetary policy and in monitoring economic developments. They also often have...

This paper analyzes the availability, methodological soundness, and scope of National Accounts statistics in IMF member and non-member countries in 2020. National Account statistics are instrumental in the development of fiscal and monetary policy and in monitoring economic developments. This...

We propose a framework to link empirical models of systemic risk to theoretical network/ general equilibrium models used to understand the channels of transmission of systemic risk. The theoretical model allows for systemic risk due to interbank counterparty risk, common asset exposures/fire...

The paper employs synthetic control method (SCM) to determine the impact of trade agreements for 64 Latin American country pairs in the period 1989-1996. The results suggest that trade agreements have markedly boosted exports in Latin America, on an average by 76.4 percentage points over ten...