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

 

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

Questions

 

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