• Twitter
  • Search
e-axes

360° Econ View

The issues, the debates, and the research

  • Home
  • Useful Data
  • About
  • Contact
  • Home
  • Useful Data
  • About
  • Contact

Banking

Bank stress tests during Covid-19

Posted by e-axes on January 19, 2021

Read Next →

Banking

The Unfinished Reform of Global Payments

Banking

How Financial Rules Shape Innovation

Banking

Zombie Firms, Credit Markets, and Financial Intermediation

Lessons from the ECB June 2020 stress tests

In June 2020, the European Central Bank/ Single Supervisory Mechanism (ECB/SSM) conducted a stress test exercise known as “Vulnerability Analysis” for 86 EU banks considered as systemically important. Three scenarios were used:

  • Macroeconomic forecasts made at the end of 2019;
  • Forecasts published by the ECB in June 2020;
  • The possibility of a deep and lasting recession.

At the end of July, the ECB/SSM published the results in an aggregate basis, without disclosing the results by country. Their findings suggest that the EU banking system is expected to experience an aggregate capital ratio loss of 1.9 percentage points in the central scenario and a more significant impact of around 5.7 percentage points in the case of a more severe scenario than the forecasts for 2020. In this commentary Fourel et al. warn that these stress tests:

[A]re thus more akin to forecasting exercises (i) with a highly uncertain economic recovery scenario and (ii) a methodology that is entirely based on the supervisory authorities’ models and does therefore not involve banks. In these “top-down” exercises, banks’ individual characteristics are less well integrated and further work is needed to possibly calibrate individual requirements in terms of capital strengthening.

Bank stress-tests at the time of Covid-19
By: Valère Fourel, Julien Idier, Valerio Scalone and Aurore Schilte – Banque de France

Lessons from the U.S. 2020 stress tests

In this paper, Agarwal and Goel build a tractable three-period model of stress-test based bank capital regulation under information asymmetry: the banks take household deposits and invest them in risky projects whose returns can be either high or low depending on the bank’s type. To mitigate the negative effects from bank overborrowing, a baseline minimum capital-ratio requirement is imposed as regulators cannot observe the type of each bank.

They use the Covid-19 crisis as a natural experiment to assess stress-testing and show that banks’ performances in the 2020 U.S. stress-test (which took place before the crisis) and during the crisis are highly discordant, both in absolute and relative (cross-sectional) terms. In particular, they find:

  • Some of the worst performers in the test actually raised their CET1 ratios during the crisis;
  • Technical and computational glitches can lead to faulty results. As such, stress-tests may exhibit Type-I and Type-II errors, as a result of which a less (more) risky bank may fail (pass) the test and face excessive (insufficient) regulation;
  • Inaccurate results can have a large impact on banks’ capital costs, on their operations, and on overall economic welfare.


Limits of stress-test based bank regulation: Cues from the Covid-19 crisis
Authors: Isha Agarwal, Tirupam Goel
From: University of British Columbia, BIS

Print Friendly, PDF & Email

e-axes

Read Next →

Banking

The Unfinished Reform of Global Payments

Banking

How Financial Rules Shape Innovation

Banking

Zombie Firms, Credit Markets, and Financial Intermediation

Comments are Closed

Account

  • Login

Subscriptions

You are not logged in.
Login
Subscribe

Subscriptions

Subscribe

Most Read

  • Bank Heterogeneity and the Transmission of Monetary Tightening
  • AI Valuations, Capital Investment, and Growth
  • New and Noteworthy Books in Economics (September)
  • AI and the Natural Rate: Puzzle or Policy Challenge?
  • Communicating Uncertainty: Fan Charts, Confidence, and Credibility
  • How Firms’ Cost Expectations Shape Prices
  • Macroeconomic Risk: From Scenario Synthesis to Distributional Transmission
  • Measuring Expectations in Real Time: The Value and Limits of Kalshi Markets
  • Asia’s Expanding Non-Dollar Payment Networks
  • When Markets Drift from the Real Economy

Sections

  • AI
  • Banking
  • Books
  • Brexit
  • CBDC
  • China
  • Climate
  • COVID-19
  • Crypto
  • Demographics
  • Economic Growth
  • Economic Science
  • Economics of Information
  • Emerging Markets
  • Eurozone
  • Financial Markets
  • Geoeconomics
  • Geopolitics
  • India
  • Inequality
  • Inflation
  • International Economics
  • Macro
  • Markets
  • Monetary Policy
  • Oil
  • Politics & Economics
  • Taxation
  • Tech
  • Trade
  • U.S.
  • Ukraine-Russia War
  • Uncategorized
  • Useful Data

© 2026 e-axes

  • Privacy Policy & Terms of Service

Theme by Anders Norén

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish.
Cookie settingsAccept
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are as essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
SAVE & ACCEPT