Designing a System for Efficient and Effective Quarterly Portfolio Credit Review using a Combination of Random and Expert Judgement Sampling
Client: A European Corporate and Investment Bank
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Objective
To establish a sampling methodology that represents an entire portfolio, adheres to all regulatory guidelines and provides a reasonable assurance on portfolio credit quality.
CRISIL's Solution
Designed a sample selection methodology combining stratified random sampling and expert judgement sampling
Stratified random sampling helps develop a representative portfolio by ensuring coverage of all sectors in the portfolio with no manual intervention
Expert judgement sampling ensures inclusion of obligors that have new issuances, pose significant risks or otherwise warrant special attention from management
Established an appropriate sampling threshold that can be adjusted based on the complexity of the investment portfolio and resources available to conduct a rating review
Recommended a quarterly sampling frequency to ensure regular monitoring of portfolio credit characteristics
Client Impact
Designed a robust sampling methodology supporting effective review of investment portfolios
Provided continuous monitoring of key risks
100% compliance with regulatory guidelines and positive feedback from examiners
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