This paper outlines an approach to assess uncertainty around a forecast baseline as well as the impact of alternative policy rules on macro variability. The approach allows for non-Gaussian shock distributions and non-linear underlying macroeconomic models. Consequently, the resulting...

This paper reports the main findings of a pilot project launched in July 2014 by the IMF's Statistics Department to test augmenting the IMF's financial soundness indicators (FSIs) with concentration and distribution measures (CDMs) to capture tail risks, concentrations, variations in...

In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries' predictive GDP growth densities, taking into account cross-country interdependencies. Speci?cally, we...

Pacific island countries (PICs) are vulnerable severe natural disasters, especially cyclones, inflicting large losses on their economies. In the aftermath of disasters, PIC governments face revenue losses and spending pressures to address post-disaster relief and recovery efforts. This paper...

This paper reviews a number of different techniques for estimating default probabilities from the prices of publicly traded securities. These techniques are useful for assessing credit exposure, systemic risk, and stress testing financial systems. The choice of techniques was guided by their...

This paper examines the usefulness of testing the conformity of macroeconomic data with Benford''s law as indicator of data quality. Most of the macroeconomic data series tested conform with Benford''s law. However, questions emerge on the reliability of such tests as indicators of data quality...