We study the impact of the COVID-19 recession on capital structure of publicly listed U.S. firms. Our estimates suggest leverage (Net Debt/Asset) decreased by 5.3 percentage points from the pre-shock mean of 19.6 percent, while debt maturity increased moderately. This de-leveraging effect is...

Public and private sector balance sheets are an important component to any analysis of debt sustainability. A vulnerable and indebted private sector can become a sudden liability for the government; alternatively, resilient household and bank balance sheets may reveal potential sources of...

Corporate sector vulnerabilities have been a central policy topic since the outset of the COVID-19 pandemic. In this paper, we analyze some 17,000 publicly listed firms in a sample of 24 countries, and assess their ability to withstand shocks induced by the pandemic to their liquidity, viability...

With public debt soaring across the world, a growing concern is whether current debt levels are a harbinger of fiscal crises, thereby restricting the policy space in a downturn. The empirical evidence to date is however inconclusive, and the true cost of debt may be overstated if interest rates...

This paper describes the evolution of ideas to apply bankruptcy reorganization principles to sovereign debt crises. Our focus is on policy proposals between the late 1970s and Anne Krueger''s (2001) proposed ""Sovereign Debt-Restructuring Mechanism,"" with brief reference to the economics...

The private non-financial sector in Europe is facing increased challenges in meeting its debt servicing obligation. In response, governments are revisiting legal tools and—in some cases—institutional arrangements to deal with over-indebtedness. For households, where the problem in some...

This paper presents an overview of exposures in the balance sheets of central banks, banks, and other depository institutions during the past decade, with emphasis on asset growth and currency composition. It exploits the IMF's SRF-based monetary data to show: (i) there was a widely observed...

In this paper I assess the ability of econometric and machine learning techniques to predict fiscal crises out of sample. I show that the econometric approaches used in many policy applications cannot outperform a simple heuristic rule of thumb. Machine learning techniques (elastic net, random...

This paper identifies leading indicators of fiscal crises based on a large sample of countries at different stages of development over 1970-2015. Our results are robust to different methodologies and sample periods. Previous literature on early warning sistems (EWS) for fiscal crises is scarce...