In this paper, we consider the design of the surveillance, and, in particular, the fiscal criteria in the Central African Economic and Monetary Community (CEMAC) with the view to ensuring they are consistent with internal and external sustainability. This consistency is important within a...

We update the widely used banking crises database by Laeven and Valencia (2008, 2010) with new information on recent and ongoing crises, including updated information on policy responses and outcomes (i.e. fiscal costs, output losses, and increases in public debt). We also update our dating of...

Identification of structural VARs using sign restrictions has become increasingly popular in the academic literature. This paper (i) argues that identification of shocks can benefit from introducing a global dimension, and (ii) shows that summarising information by the median of the available...

In this paper we attempt to evaluate the quantitative impact of financial shocks on key indicators of real activity and financial conditions. We focus on financial shocks as they have received wide attention in the recent literature and in the policy debate after the global financial crisis. We...

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...

The causes of the 2008 collapse and subsequent surge in global capital flows remain an open and highly controversial issue. Employing a factor model coupled with a dataset of high-frequency portfolio capital flows to 50 economies, the paper finds that common shocks – key crisis events as well...

Amid the recent commodity price gyrations, policy makers have become increasingly concerned in assessing to what extent oil and food price shocks transmit to the inflationary outlook and the real economy. In this paper, we try to tackle this issue by means of a Global Vector Autoregressive...