Currency mismatches in corporate balance sheets have been singled out as an important factor underlying the severity of recent financial crises. We propose several structural models for measuring default risk for firms with currency mismatches in their asset/liability structure. The proposed...

This study uses bivariate extremal dependence measures, based on the number of equity return co-exceedances in two markets, to quantify both negative and positive equity returns contagion in mature and emerging equity markets during the past decade. The results indicate (a) higher contagion for...

Policy makers have expressed interest in fostering the development of local foreign exchange derivatives markets with a view to reducing risks arising from currency mismatches between assets and liabilities in the corporate sector. This paper assesses foreign exchange exposure in the corporate...

The growth-at-risk (GaR) framework links current macrofinancial conditions to the distribution of future growth. Its main strength is its ability to assess the entire distribution of future GDP growth (in contrast to point forecasts), quantify macrofinancial risks in terms of growth, and monitor...

The global financial crisis has underscored the importance of understanding macro-financial developments and spillovers in an increasingly interconnected and intricate system. At the IMF, staff is focusing on the linkages between the real economy and the financial sector, as well as the...

The COVID-19 pandemic prompted unprecedented economic stimulus worldwide. We empirically examine the impact of a withdrawal of fiscal stimulus policies on the stock markets. After constructing a database of withdrawal events, we use event study analysis and cross-country regressions to assess...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses unsupervised representation learning and a novel mode contrastive autoencoder to group episodes...