Australia’s Sovereign Risk: Banks Have Been Consistently Cautious
The main rating agencies have so far been unanimous in their credit opinion of the Australia Government; they have all assigned the equivalent of a
The main rating agencies have so far been unanimous in their credit opinion of the Australia Government; they have all assigned the equivalent of a
The UK referendum decision to leave the EU may have taken markets and betting exchanges by surprise, but Credit Benchmark data shows that IRB banks
The Basel Committee on Banking Supervision is proposing significant changes to the use of internal risk models by IRB banks, and the final date for
If the Basel Committee on Banking Supervision implements its March 2016 proposals this year, banks will need to expand their historical default datasets in order to
This White Paper shows that consensus credit risk data sourced from IRB banks can be combined with market data to give realistic, indicative valuations for a
In the current low yield environment, many Sovereign bonds issued by different countries are priced at similar levels. However, this report demonstrates that default probability
This analysis evaluates how Credit Benchmark’s Credit Consensus Ratings (CCR) compare to S&P Global Ratings in identifying default risk at the time of S&P’s default declarations.
Rising default risks and credit divergence signal a potential shakeout in the tech sector amid volatile returns and shifting global dynamics.
Credit Benchmark’s consensus credit data provides an unparalleled view of Italian default risk through a robust framework of over 3,700 credit risk aggregates covering more than 18,000 Italian corporates, financial institutions, and funds. This dataset spans 20 regions, 70+ sectors, and multiple credit categories and company sizes, with historical depth dating back to 2017.
The economic impact of Trump’s 2024 election victory will be far reaching. This report from Credit Benchmark draws on internal credit ratings collected from global banks to show default risk trends for sectors most likely to be affected.
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