For almost a decade, the IMF has been using stress tests to identify vulnerabilities across institutions that could undermine the stability of a country''s financial system. This working paper focuses on the IMF''s experience with stress testing in the Financial Sector Assessment Program (FSAP)....

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...

This paper studies episodes in which aggregate bank credit contracts alongside expanding economic activity-credit reversals. Using data for 179 countries during 1960-2017, the paper finds that reversals are a relatively common phenomenon--on average, they occur every five years. By comparison,...

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...

Promoting credit services to small and medium-size enterprises (SMEs) has been a perennial challenge for policy makers globally due to high information costs. Recent fintech developments may be able to mitigate this problem. By leveraging big data or digital footprints on existing platforms,...

We present a semi-structural model of default risk, which is a function of loan and borrower characteristics, economic conditions, and the regulatory environment. We use this model to simulate bank credit losses for stress-testing purposes and to calibrate borrower-based macroprudential tools....

This paper discusses issues in calibrating the countercyclical capital buffer (CCB) based on a sample of EU countries. It argues that the main indicator for buffer decisions under the Basel III framework, the credit-to-GDP gap, does not always work best in terms of covering bank loan losses that...

Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have...