Why did the Great Recession lead to such a slow recovery? I build a model whereheterogeneous firms invest in physical and intangible capital, and can default on their debt. Incase of default, intangible assets are harder to seize by creditors. Hence, intangible capitalfaces higher financing...

We analyze a range of macrofinancial indicators to extract signals about cyclical systemic risk across 107 economies over 1995-2020. We construct composite indices of underlying liquidity, solvency and mispricing risks and analyze their patterns over the financial cycle. We find that liquidity...

Capital market development in Brazil is a key policy issue going forward to foster savings, investment and absorptive capacity in a context of prospects for sizable capital flows in the medium term. During the last decade, Brazil has achieved substantial progress in capital market development....

Understanding the impact of climate mitigation policies is key to designing effective carbon pricing tools. We use institutional features of the EU Emissions Trading System (ETS) and high-frequency data on more than 2,000 publicly listed European firms over 2011-21 to study the impact of carbon...

We provide broad-based evidence of a firm size premium of total factor productivity (TFP) growth in Europe after the Global Financial Crisis. The TFP growth of smaller firms was more adversely affected and diverged from their larger counterparts after the crisis. The impact was progressively...

In recent years, Fund staff has prepared cross-country analyses of macroeconomic vulnerabilities in low-income countries, focusing on the risk of sharp declines in economic growth and of debt distress. We discuss routes to broadening this focus by adding several macroeconomic and macrofinancial...

The global economy is in the midst of an unprecedented slump caused by the coronavirus pandemic. This systemic risk like no other at a time of record-breaking debt levels, especially among nonfinancial firms across the world, could exacerbate corporate vulnerabilities, deepen macro-financial...

The global economy is in the midst of an unprecedented slump caused by the COVID-19 pandemic. To assess the likely evolution of nonfinancial corporate performance going forward, this paper investigates empirically the impact of past pandemics using firm-level data on more than 537,000 companies...

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...