CountryRisk.io is an independent online platform for rating sovereign risk. It is open to interested members of the public, from central bankers and institutional analysts to students and private individuals. CountryRisk.io gives users access to a uniform, holistic and transparent rating framework and it also facilitates the exchange of country risk views among community members.
Jenny Asuncion and Bernhard Obenhuber started CountryRisk.io. They both have years of experience in finance as country risk analysts, economists and investment managers. Patrick Kranzlmüller and Axel Swoboda are the IT wizards who brought countryrisk.io to online life.
You can read more about the team here.
In the course of working as country risk analysts, the founders, Jenny Asuncion and Bernhard Obenhuber, grew increasingly frustrated with credit rating agencies’ (CRAs) utter lack of transparency. They decided there must be a better way and set about devising one. CountryRisk.io is the result.
The European sovereign debt crisis was a catalyst for the founders of CountryRisk.io. Regulators around the world began calling for greater transparency about the methodologies used by CRAs. They also advocated that financial institutions should reduce their dependence on CRA ratings. The time was right for the founders to put their extensive experience in sovereign and country risk analysis into a transparent online rating platform.
The founders have fully financed the start-up costs for CountryRisk.io.
Analysts from financial institutions – banks, insurance companies and asset management firms – who want to perform their own independent country risk analysis should use the platform.
Likewise, economists working in central banks, finance ministries and other public offices, as well as students and interested private individuals will find the platform useful for conducting their own independent country risk analyses.
Anyone with a strong interest in country risk analysis is welcome to join the CountryRisk.io community.
You can register here.
There are several ways to use CountryRisk.io:
- Risk exposure modelling: Banks and other financial institutions can use CountryRisk.io to model their sovereign risk exposures and to fine-tune individual country credit exposures.
- Investment management: Investment managers can use CountryRisk.io to analyse sovereign risks for new and existing investments. CountryRisk.io can also be used to construct fundamental credit and equity benchmarks.
- Corporates: CountryRisk.io helps corporates to understand the inherent risks in investing in a new market (i.e., foreign direct investment).
- Scenario assessment: Finance ministries and central banks can assess the impact of potential policy changes on their sovereign risk rating – be it the introduction of a new policy or a modification to existing one – using CountryRisk.io.
- CountryRisk.io is also a great tool for teaching applied macroeconomics at a university level.
These are just some ways CountryRisk.io can be used. If you discover other applications for the platform, please drop us an email at
You can register here.
CountryRisk.io is free for qualified individuals. The only requirement is that you share your rating analysis and the dataset you upload with the community.
If you want to keep your analysis and dataset private, you can sign up for a premium account.
CountryRisk.io believes that country risk ratings are a public good that should be accessible to everyone. We also believe that having multiple opinions on the risk of a country is superior to a single view by a single analyst.
By giving individuals free access to the platform, a community view will emerge. A user can assess how his or her rating perspective compares to the community average and the overall rating dispersion.
Privacy is very important to us. You can find our privacy statement here.
CountryRisk.io is not a rating agency; rather, it is an open, online ratings platform. CountryRisk.io is not regulated by ESMA or the SEC. That said, we support private sector companies in the regulatory approval process for credit risk models.