This article is no longer active. Please see "Banking Industry Country Risk Assessment Update: April 2023," published April 28, 2023.
Overview And Scope
Here S&P Global Ratings provides additional information on the variables derived from the application of the criteria “Banking Industry Country Risk Assessment Methodology And Assumptions," Dec. 9, 2021, that it uses primarily when applying its methodologies to develop the stand-alone credit profile and issuer credit rating on a financial institution (“Financial Institutions Rating Methodology,” Dec. 9, 2021). This report is intended to be read in conjunction with those criteria. For a further explanation of sector and industry variables reports, please see the description at the end of this article.
We typically update this publication every month to summarize our latest BICRA assessments, economic and industry risk scores--summarized in chart 1--and components, and related assessments (government support assessments and BICRA scores for estimates and regional averages). The variables are current as of time of publication of this article, but some may be amended before the publication of our next update. Such amendments would be communicated through our normal surveillance publications, for instance through a media release or bulletin, and would be summarized in the following monthly update of this publication.
The variables include our BICRAs by group and country (table 1), our BICRA economic risk and industry risk scores and components (table 2), and our BICRA scores for estimates and regional averages (table 4). The variables also include our government support assessment by region (table 3), which is derived from the application of our criteria (“Financial Institutions Rating Methodology”). All these variables were last published in “Sector And Industry Variables | Banking Industry Country Risk Assessment Update: February 2023,” Feb. 23, 2023.
Key Publication Information
This article is primarily related to “Banking Industry Country Risk Assessment Methodology And Assumptions,” published on Dec. 9, 2021.
In addition, the variables covered in this article include our government support assessment (see table 3), which is derived from the application of “Financial Institutions Rating Methodology,” published on Dec. 9, 2021. Moreover, our BICRA estimates and regional averages (see table 4) are derived from "Risk-Adjusted Capital Framework Methodology," July 20, 2017.
We will typically update this publication every month to summarize our latest BICRA assessments, economic and industry risk scores and components, and related assessments.
Latest BICRA Actions And Reports
Since we last published the BICRA update on Feb. 23, 2023, we have revised:
- Austria: Our industry risk trend to stable from negative; and
- Kazakhstan: Our BICRA to Group ‘8’ from Group ‘9’, and our industry risk score to ‘8’ from ‘9’. We also revised some scores on related factors.
Since we last published this report on Feb. 23, 2023, we have published comprehensive BICRA reports on: Belarus and Iceland.
Austria
We have revised our industry risk trend for Austria to stable from negative. This reflects our view that pressures on Austrian banks' profitability have moderated. Cost optimization measures and improving revenue have contributed to the development, which we foresee will be sustainable. However, we expect only a marginal further profitability improvement in the medium term, reflecting a weakening economy, high inflationary pressure on operational costs, and increased risk costs. In our view, the sector's return on assets should remain about 0.5% in the medium term. Our base-case scenario does not take into account the tail risks from the secondary effects of the Russia-Ukraine war on Austria's and Europe's economies.
Kazakhstan
We have revised our BICRA for Kazakhstan to Group ‘8’ from Group ‘9’, and our industry risk score to ‘8’ from ‘9’. We believe that Kazakhstan's banking industry is demonstrating signs of recovery from a protracted correction following mounted credit losses. This recovery is being supported by favorable commodity prices stimulating credit demand, alongside material improvements in asset quality. Kazakhstani banks benefit from solid margins and have demonstrated capacity to generate earnings to buffer against risks even as the external operating environment has remained uncertain and volatile.
Sector And Industry Variables
S&P Global Ratings uses its BICRA economic risk and industry risk scores to determine the anchor for a financial institution, which is the starting point of a rating (see paragraph 7 in the financial institutions criteria).
Our BICRA criteria evaluate and compare the relative strength of global banking systems. BICRA scores are on a scale from 1 to 10 (see table 1), with group 1 representing the lowest-risk banking systems and group 10 the highest-risk ones (see paragraph 4 in the BICRA criteria).
Table 1 - BICRAs By Group And Country | ||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Group '1' to '10', from lowest to highest risk) | ||||||||||||||||||||||
Group 1 | Group 2 | Group 3 | Group 4 | Group 5 | Group 6 | Group 7 | Group 8 | Group 9 | Group 10 | |||||||||||||
Austria | Australia | Ireland | Bermuda | Brazil | Bahrain | Armenia | Argentina | Belarus | ||||||||||||||
Belgium | Chile | Kuwait | Hungary | Brunei | Georgia | Costa Rica | Azerbaijan | Nigeria | ||||||||||||||
Canada | Czech Republic | Malaysia | Iceland | China | Guatemala | Cyprus | Bangladesh | Tunisia | ||||||||||||||
Finland | Denmark | New Zealand | Italy | Colombia | Morocco | Greece | Bolivia | Ukraine | ||||||||||||||
Hong Kong | France | Poland | Malta | India | Oman | Honduras | Cambodia | |||||||||||||||
Liechtenstein | Germany | Saudi Arabia | Mexico | Indonesia | Thailand | Jamaica | Egypt | |||||||||||||||
Luxembourg | Israel | Slovenia | Panama | South Africa | Jordan | El Salvador | ||||||||||||||||
Norway | Japan | Spain | Peru | Trinidad and Tobago | Kazakhstan | Mongolia | ||||||||||||||||
Singapore | Korea | Taiwan | Philippines | Paraguay | Turkiye | |||||||||||||||||
Sweden | Netherlands | Portugal | Uzbekistan | Vietnam | ||||||||||||||||||
Switzerland | U.K. | Qatar | ||||||||||||||||||||
U.S. | United Arab Emirates | |||||||||||||||||||||
Uruguay | ||||||||||||||||||||||
Changes to this table since our previous monthly article published Feb. 23, 2023: Kazakhstan. Data as of March 30, 2023.BICRAs -- Banking Industry Country Risk Assessments. Source: S&P Global Ratings. | ||||||||||||||||||||||
Table 2 - BICRA Economic Risk And Industry Risk Scores And Components | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
(Group '1' to '10', from lowest to highest risk) | ||||||||||||||||||||
Economic risk factors and descriptors | Industry risk factors and descriptors | |||||||||||||||||||
Country | BICRA Group | Economic Resilience | Economic Imbalances | Credit risk in the economy | Economic risk/Trend | Institutional framework | Competitive dynamics | Systemwide funding | Industry risk/Trend | |||||||||||
Switzerland | 2 | Very Low | Low | Low | 2/Stable | Low | Low | Low | 2/Stable | |||||||||||
Finland | 2 | Very Low | Low | Low | 2/Stable | Intermediate | Low | Intermediate | 3/Stable | |||||||||||
Austria | 2 | Very Low | Low | Intermediate | 2/Stable | Intermediate | Intermediate | Low | 3/Stable | |||||||||||
Norway | 2 | Very Low | Intermediate | Low | 2/Stable | Low | Low | Intermediate | 3/Stable | |||||||||||
Sweden | 2 | Very Low | Intermediate | Low | 2/Stable | Intermediate | Low | Intermediate | 3/Stable | |||||||||||
Luxembourg | 2 | Very Low | Intermediate | Low | 2/Stable | Intermediate | Intermediate | Very Low | 3/Stable | |||||||||||
Belgium | 2 | Low | Low | Low | 2/Stable | Intermediate | Intermediate | Very Low | 3/Stable | |||||||||||
Liechtenstein | 2 | Low | Low | Low | 2/Stable | Intermediate | Intermediate | Low | 3/Stable | |||||||||||
Hong Kong | 2 | Low | Intermediate | Intermediate | 3/Stable | Very Low | Low | Very Low | 1/Stable | |||||||||||
Canada | 2 | Very Low | Intermediate | Intermediate | 3/Stable | Very Low | Low | Low | 2/Stable | |||||||||||
Singapore | 2 | Very Low | Intermediate | Intermediate | 3/Stable | Very Low | Low | Low | 2/Stable | |||||||||||
Germany | 3 | Very Low | Low | Low | 2/Stable | Intermediate | High | Very Low | 4/Stable | |||||||||||
Denmark | 3 | Very Low | Low | Intermediate | 2/Stable | Intermediate | Intermediate | Intermediate | 4/Stable | |||||||||||
Japan | 3 | Low | Very Low | Low | 2/Stable | Intermediate | High | Very Low | 4/Stable | |||||||||||
Australia | 3 | Very Low | High | Low | 3/Stable | Low | Low | Intermediate | 3/Positive | |||||||||||
Netherlands | 3 | Very Low | Intermediate | Intermediate | 3/Stable | Intermediate | Intermediate | Low | 3/Stable | |||||||||||
U.S. | 3 | Low | Low | Intermediate | 3/Stable | Intermediate | Intermediate | Very Low | 3/Positive | |||||||||||
Korea | 3 | Low | Low | Intermediate | 3/Stable | Intermediate | Intermediate | Low | 3/Stable | |||||||||||
France | 3 | Low | Intermediate | Low | 3/Stable | Intermediate | High | Low | 4/Stable | |||||||||||
Czech Republic | 3 | Intermediate | Low | Intermediate | 3/Negative | Intermediate | Intermediate | Intermediate | 4/Stable | |||||||||||
Israel | 3 | Intermediate | Intermediate | Low | 3/Stable | Intermediate | High | Low | 4/Stable | |||||||||||
U.K. | 3 | Low | Intermediate | High | 4/Stable | Low | Intermediate | Low | 3/Stable | |||||||||||
Chile | 3 | High | Low | Intermediate | 4/Negative | Intermediate | Low | Low | 3/Stable | |||||||||||
Taiwan | 4 | Low | Low | Intermediate | 3/Stable | Intermediate | Very High | Very Low | 5/Stable | |||||||||||
New Zealand | 4 | Very Low | High | Intermediate | 4/Negative | Intermediate | Low | High | 4/Stable | |||||||||||
Ireland | 4 | Low | High | Intermediate | 4/Stable | Intermediate | High | Low | 4/Stable | |||||||||||
Slovenia | 4 | Intermediate | Intermediate | Intermediate | 4/Stable | Intermediate | Intermediate | Intermediate | 4/Stable | |||||||||||
Spain | 4 | Intermediate | Intermediate | Intermediate | 4/Stable | Intermediate | High | Low | 4/Stable | |||||||||||
Poland | 4 | High | Low | Intermediate | 4/Stable | Intermediate | Very High | Low | 5/Negative | |||||||||||
Saudi Arabia | 4 | High | Intermediate | Intermediate | 5/Stable | Intermediate | Intermediate | Low | 3/Stable | |||||||||||
Malaysia | 4 | High | Low | High | 5/Stable | Intermediate | High | Low | 4/Stable | |||||||||||
Kuwait | 4 | High | Intermediate | Intermediate | 5/Stable | High | Intermediate | Low | 4/Stable | |||||||||||
Malta | 5 | Intermediate | Low | High | 4/Negative | Very High | Intermediate | Intermediate | 6/Stable | |||||||||||
Panama | 5 | Intermediate | High | Intermediate | 5/Negative | Intermediate | Low | Very High | 5/Stable | |||||||||||
Iceland | 5 | Intermediate | High | Intermediate | 5/Stable | Intermediate | Intermediate | High | 5/Stable | |||||||||||
Hungary | 5 | Intermediate | High | Intermediate | 5/Negative | Intermediate | High | Intermediate | 5/Stable | |||||||||||
Qatar | 5 | Low | High | High | 5/Stable | Intermediate | Intermediate | Very High | 6/Stable | |||||||||||
Uruguay | 5 | High | Low | High | 5/Stable | High | High | Intermediate | 6/Stable | |||||||||||
United Arab Emirates | 5 | Low | High | Very High | 6/Stable | Intermediate | High | Intermediate | 5/Stable | |||||||||||
Italy | 5 | Intermediate | High | High | 6/Stable | Intermediate | High | Intermediate | 5/Stable | |||||||||||
Portugal | 5 | Intermediate | High | High | 6/Stable | Intermediate | High | Intermediate | 5/Stable | |||||||||||
Bermuda | 5 | Intermediate | Very High | Intermediate | 6/Stable | Intermediate | Low | Intermediate | 3/Stable | |||||||||||
Peru | 5 | High | Very Low | Very High | 6/Negative | Low | Intermediate | Intermediate | 3/Stable | |||||||||||
Mexico | 5 | Very High | Intermediate | Intermediate | 6/Stable | Intermediate | Intermediate | Low | 3/Stable | |||||||||||
Philippines | 5 | Very High | Low | High | 6/Stable | High | Intermediate | Intermediate | 5/Stable | |||||||||||
Brunei | 6 | Intermediate | Low | High | 4/Stable | Extremely High | Intermediate | Low | 7/Stable | |||||||||||
Indonesia | 6 | High | Low | Very High | 6/Stable | High | High | Intermediate | 6/Stable | |||||||||||
China | 6 | Intermediate | High | Very High | 7/Stable | High | High | Very Low | 5/Stable | |||||||||||
India | 6 | High | Intermediate | Very High | 7/Stable | High | High | Low | 5/Stable | |||||||||||
Colombia | 6 | High | High | High | 7/Stable | High | Intermediate | Intermediate | 5/Stable | |||||||||||
Brazil | 6 | Very High | Intermediate | High | 7/Stable | Intermediate | High | Intermediate | 5/Stable | |||||||||||
Trinidad and Tobago | 6 | Very High | Intermediate | Very High | 7/Stable | High | High | Low | 5/Stable | |||||||||||
South Africa | 6 | Very High | Intermediate | High | 7/Stable | Intermediate | Intermediate | High | 5/Stable | |||||||||||
Bahrain | 7 | High | High | Very High | 7/Stable | Intermediate | High | High | 6/Stable | |||||||||||
Thailand | 7 | High | High | Very High | 7/Stable | Very High | High | Low | 6/Stable | |||||||||||
Morocco | 7 | Very High | Intermediate | Very High | 7/Stable | Intermediate | High | High | 6/Stable | |||||||||||
Oman | 7 | Very High | High | High | 7/Stable | Intermediate | High | High | 6/Stable | |||||||||||
Georgia | 7 | High | High | Very High | 7/Stable | Intermediate | High | Very High | 7/Stable | |||||||||||
Guatemala | 7 | Extremely High | Intermediate | Very High | 8/Stable | High | Intermediate | Intermediate | 5/Stable | |||||||||||
Cyprus | 8 | Intermediate | High | Very High | 7/Stable | High | Very High | Very High | 8/Stable | |||||||||||
Greece | 8 | High | High | Very High | 7/Stable | High | Very High | Very High | 8/Positive | |||||||||||
Costa Rica | 8 | High | High | Very High | 7/Stable | High | Extremely High | High | 8/Stable | |||||||||||
Uzbekistan | 8 | Very High | Intermediate | Very High | 7/Stable | Extremely High | High | Very High | 9/Stable | |||||||||||
Honduras | 8 | Very High | Intermediate | Extremely High | 8/Stable | Very High | Intermediate | High | 7/Stable | |||||||||||
Jordan | 8 | Extremely High | Intermediate | Very High | 8/Stable | High | High | High | 7/Stable | |||||||||||
Kazakhstan | 8 | High | High | Extremely High | 8/Stable | Extremely High | High | High | 8/Stable | |||||||||||
Armenia | 8 | Very High | Intermediate | Extremely High | 8/Stable | Very High | High | Very High | 8/Stable | |||||||||||
Paraguay | 8 | Very High | Intermediate | Extremely High | 8/Stable | Very High | Very High | High | 8/Stable | |||||||||||
Jamaica | 8 | Extremely High | Intermediate | Very High | 8/Stable | High | Very High | Very High | 8/Stable | |||||||||||
Bangladesh | 9 | Very High | Low | Extremely High | 8/Stable | Extremely High | Extremely High | Intermediate | 9/Stable | |||||||||||
Azerbaijan | 9 | Very High | High | Very High | 8/Stable | Extremely High | High | Very High | 9/Stable | |||||||||||
Bolivia | 9 | Very High | High | Extremely High | 9/Stable | Very High | Very High | High | 8/Stable | |||||||||||
Vietnam | 9 | Very High | High | Extremely High | 9/Stable | Extremely High | Very High | Intermediate | 8/Stable | |||||||||||
El Salvador | 9 | Extremely High | Intermediate | Extremely High | 9/Negative | High | Intermediate | Extremely High | 8/Negative | |||||||||||
Egypt | 9 | Extremely High | High | Very High | 9/Stable | Extremely High | High | High | 8/Stable | |||||||||||
Mongolia | 9 | Very High | High | Extremely High | 9/Stable | Extremely High | High | Very High | 9/Stable | |||||||||||
Cambodia | 9 | Very High | High | Extremely High | 9/Stable | Extremely High | High | Very High | 9/Stable | |||||||||||
Turkiye | 9 | Very High | Very High | Very High | 9/Negative | Very High | Very High | Very High | 9/Negative | |||||||||||
Argentina | 9 | Extremely High | High | Extremely High | 10/Stable | High | High | Very High | 7/Negative | |||||||||||
Belarus | 10 | Extremely High | High | Very High | 9/Negative | Extremely High | Very High | Extremely High | 10/Stable | |||||||||||
Ukraine | 10 | Extremely High | Extremely High | Extremely High | 10/Stable | Very High | Very High | Very High | 9/Stable | |||||||||||
Nigeria | 10 | Extremely High | High | Extremely High | 10/Stable | Extremely High | High | Very High | 9/Stable | |||||||||||
Tunisia | 10 | Extremely High | High | Extremely High | 10/Stable | Extremely High | High | Very High | 9/Negative | |||||||||||
Changes to this table since our previous monthly article published on Feb. 23, 2023: 1) Industry risk trend for Austria, 2) BICRA, Industry risk score for Kazakhstan.Data as of March 30, 2023. BICRA -- Banking Industry Country Risk Assessment. Comprehensive BICRA reports published since we last published this report: Belarus, Iceland.Source: S&P Global Ratings. |
We assess the capacity and willingness of sovereigns (see table 3) to support failing banks (or nonbank financial institutions where applicable) during a crisis based on their systemic importance, classifying sovereigns into three groups: highly supportive, supportive, and uncertain (see paragraph 225 in the “Financial Institutions Rating Methodology").
Table 3 - Government Support Assessment By Region | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Asia-Pacific | CEEMEA | Latin America and Caribbean | North America | Western Europe | ||||||||||||||||
Country | Government support assessment | Country | Government support assessment | Country | Government support assessment | Country | Government support assessment | Country | Government support assessment | |||||||||||
Australia | Highly supportive | Kuwait | Highly supportive | Bolivia | Supportive | Bermuda | Supportive | Austria | Uncertain | |||||||||||
Brunei | Highly supportive | Qatar | Highly supportive | Brazil | Supportive | Canada | Supportive | Belgium | Uncertain | |||||||||||
China | Highly supportive | Saudi Arabia | Highly supportive | Chile | Supportive | United States of America | Uncertain | Cyprus | Uncertain | |||||||||||
India | Highly supportive | United Arab Emirates | Highly supportive | Colombia | Supportive | Denmark | Uncertain | |||||||||||||
Indonesia | Highly supportive | Israel | Supportive | Guatemala | Supportive | Finland | Uncertain | |||||||||||||
Japan | Highly supportive | Kazakhstan | Supportive | Mexico | Supportive | France | Uncertain | |||||||||||||
Korea | Highly supportive | Morocco | Supportive | Peru | Supportive | Germany | Uncertain | |||||||||||||
Malaysia | Highly supportive | Uzbekistan | Supportive | Trinidad and Tobago | Supportive | Greece | Uncertain | |||||||||||||
Philippines | Highly supportive | Armenia | Uncertain | Uruguay | Supportive | Iceland | Uncertain | |||||||||||||
Singapore | Highly supportive | Azerbaijan | Uncertain | Argentina | Uncertain | Ireland | Uncertain | |||||||||||||
Taiwan | Highly supportive | Bahrain | Uncertain | Costa Rica | Uncertain | Italy | Uncertain | |||||||||||||
Thailand | Highly supportive | Belarus | Uncertain | El Salvador | Uncertain | Liechtenstein | Uncertain | |||||||||||||
Vietnam | Highly supportive | Czech Republic | Uncertain | Honduras | Uncertain | Luxembourg | Uncertain | |||||||||||||
Hong Kong | Supportive | Egypt | Uncertain | Jamaica | Uncertain | Malta | Uncertain | |||||||||||||
Bangladesh | Uncertain | Georgia | Uncertain | Panama | Uncertain | Netherlands | Uncertain | |||||||||||||
Cambodia | Uncertain | Hungary | Uncertain | Paraguay | Uncertain | Norway | Uncertain | |||||||||||||
Mongolia | Uncertain | Jordan | Uncertain | Portugal | Uncertain | |||||||||||||||
New Zealand | Uncertain | Nigeria | Uncertain | Spain | Uncertain | |||||||||||||||
Oman | Uncertain | Sweden | Uncertain | |||||||||||||||||
Poland | Uncertain | Switzerland | Uncertain | |||||||||||||||||
Slovenia | Uncertain | U.K. | Uncertain | |||||||||||||||||
South Africa | Uncertain | |||||||||||||||||||
Tunisia | Uncertain | |||||||||||||||||||
Turkiye | Uncertain | |||||||||||||||||||
Ukraine | Uncertain | |||||||||||||||||||
There have been no changes to this table since our previous monthly article published on Feb. 23, 2023.CEEMEA -- Central and Eastern Europe, the Middle East, and Africa. Note: Data as of March 30, 2023. Source: S&P Global Ratings. |
Countries for which we do not perform BICRAs are assigned estimates or proxies (depending on the magnitude of rated entities' aggregate exposure to issuers in these jurisdictions) for the purpose of computing risk-adjusted capital ratios. These estimates are made using a simplified BICRA analysis for jurisdictions that rated banks have significant aggregate exposure to--typically of US$5 billion or more (across all the entities we rate). We may also perform a BICRA estimate if rated banks' aggregate exposure is not significant, but we consider it appropriate to assign an estimate. Our BICRA proxies are usually calculated for jurisdictions for which global exposure is not very significant (i.e., typically below US$5 billion). The proxies are based on our foreign currency sovereign rating on the country for which we estimate the BICRA and economic and industry risk scores (see paragraph 12 in the “Risk-Adjusted Capital Framework Methodology,” July 20, 2017). The BICRAs, economic risk scores, equity market groups (see paragraph 125), and long-term foreign currency sovereign credit ratings that we assign to groups of countries and to regions represent the GDP-weighted average of BICRAs, economic risk scores, equity market groups, and long-term foreign currency sovereign credit ratings on the countries in these groups and regions (see paragraph 151 in “Risk-Adjusted Capital Framework Methodology”).
Table 4 - BICRA Scores for Estimates and Regional Averages | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BICRA Estimates | BICRA Regional Averages | |||||||||||||
BICRA Group | Economic Risk | BICRA Group | Economic Risk | |||||||||||
Andorra | 7 | 6 | Africa | 9 | 9 | |||||||||
Bahamas | 7 | 7 | Asia Pacific | 5 | 6 | |||||||||
Bosnia and Herzegovina | 9 | 9 | Central America and the Caribbean | 8 | 8 | |||||||||
Bulgaria | 7 | 7 | Europe, the Middle East and Africa | 5 | 5 | |||||||||
Croatia | 7 | 7 | Europe | 4 | 4 | |||||||||
Estonia | 4 | 4 | European Union | 4 | 3 | |||||||||
Latvia | 5 | 4 | Gulf Cooperation Council | 5 | 5 | |||||||||
Lithuania | 5 | 5 | Latin America | 6 | 7 | |||||||||
Romania | 7 | 7 | North America | 3 | 3 | |||||||||
Serbia | 7 | 7 | World | 4 | 5 | |||||||||
Slovakia | 5 | 6 | ||||||||||||
Data as of March 30, 2023. There have been no changes to this table since our previous monthly article published on Feb. 23, 2023.For the purposes of calculating the scores in the table, the North America region includes only Canada and the U.S. |
Related Criteria
- Financial Institutions Rating Methodology, Dec. 9, 2021
- Banking Industry Country Risk Assessment Methodology And Assumptions, Dec. 9, 2021
- Sovereign Rating Methodology, Dec. 18, 2017
- Risk-Adjusted Capital Framework Methodology, July 20, 2017
Related Research
- Banking Industry Country Risk Assessment: Belarus, March 29, 2023
- Banking Industry Country Risk Assessment: Iceland, March 24, 2023
- Ratings Affirmed On Seven Kazakhstani Financial Institutions On Improving Banking System Resilience; Outlooks Stable, March 20, 2023
- Various Rating Actions Taken On Austrian Banks On Stabilization Of Operating Performance, Feb. 24, 2023
- Global Bank Country-By-Country Outlook 2023: Greater Divergence Ahead, Nov. 17, 2022
- Global Bank Outlook 2023: Greater Divergence Ahead, Nov. 16, 2022
- Evolution Of The Methodologies Framework: Introducing Sector And Industry Variables Reports, Oct. 1, 2021
- S&P To Publish Economic And Industry Risk Trends For Banks, March 12, 2013
This is a sector and industry variables report. A sector and industry variables report is a publicly available criteria-related publication that describes sector, industry, asset class, or regional variables that we expect to periodically update mainly to reflect our views on changing macroeconomic and market conditions. Sector and industry variables reports are not criteria because they do not establish a methodological framework for determining credit ratings.
Analytical Contact: | Alfredo E Calvo, Mexico City 52-55-5081-4436; alfredo.calvo@spglobal.com |
Emmanuel F Volland, Paris 33-14-420-6696; emmanuel.volland@spglobal.com | |
Devi Aurora, New York 1-212-438-3055; devi.aurora@spglobal.com | |
Elena Iparraguirre, Madrid 34-91-389-6963; elena.iparraguirre@spglobal.com | |
Sharad Jain, Melbourne 61-3-9631-2077; sharad.jain@spglobal.com | |
Harm Semder, Frankfurt 49-693-399-9158; harm.semder@spglobal.com | |
Michael L Forbes, Toronto 1-416-507-2525; michael.forbes@spglobal.com | |
Methodology Contact: | Michelle M Brennan, London 44-20-7176-7205; michelle.brennan@spglobal.com |
Matthew B Albrecht, CFA, Englewood 1-303-721-4670; matthew.albrecht@spglobal.com | |
Steven Ader, New York 1-212-438-1447; steven.ader@spglobal.com |
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