Effective Risk Data Aggregation and Risk Reporting
1 min read
Get full access to all Data Science, Machine Learning, and AI courses built for finance professionals.
One-time payment - Lifetime access
Or create a free account to start
A step-by-step guide covering Python, SQL, analytics, and finance applications.
Or create a free account to access more
Get full access to all Data Science, Machine Learning, and AI courses built for finance professionals.
One-time payment - Lifetime access
Or create a free account to start
A step-by-step guide covering Python, SQL, analytics, and finance applications.
Or create a free account to access more
The financial crisis that began in 2007 revealed that many banks, including global systemically important banks (G-SIBs), were unable to aggregate risk exposures and identify concentrations fully, quickly and accurately. This meant that banks' ability to take risk decisions in a timely fashion was seriously impaired with wide-ranging consequences for the banks themselves and for the stability of the financial system as a whole.
The Basel Committee's Principles for effective risk data aggregation will strengthen banks' risk data aggregation capabilities and internal risk reporting practices. Implementation of the principles will strengthen risk management at banks - in particular, G-SIBs - thereby enhancing their ability to cope with stress and crisis situations.
Download PDF - Principles for effective risk data aggregation and risk reporting