Explanation:
Credit scoring systems (CSS) are predominantly quantitative and used for high-volume, low-value retail and small business exposures, enabling fast and efficient processing by automating numerical scoring. On the other hand, credit rating systems (CRS) are used for low-volume, large-scale borrowers like corporations or sovereigns. CRS incorporates qualitative expert judgment alongside quantitative analysis, facilitating standardized risk reporting that is useful for institutional risk management and external stakeholders.
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24.8.1. RiverBank, a commercial lender, is revamping its credit assessment procedures by introducing a Credit Scoring System (CSS) for personal and small business loans and a Credit Rating System (CRS) for larger corporate loans, bond issues, and municipal financing. This is in response to criticism of the previous method, which combined quantitative analytics with loan officer discretion and was deemed inconsistent and slow.
The bank aims to:
Minimize subjective judgment in loan approvals via CSS.
Use both systems for robust risk management, including scenario analyses and stress testing.
Ensure consistency and transparency across customer evaluations using CRS.
Enhance loan appraisal efficiency using CSS to curtail time and costs.
Which of the following BEST describes the distinct advantages of implementing the Credit Scoring System (CSS) and Credit Rating System (CRS) at RiverBank?
A
CSS and CRS will eliminate the need for loan officers, reducing personnel costs, while increasing market transparency with public credit evaluations.
B
The CSS will enable fast personal loan evaluations through automated numerical scoring, while the CRS will facilitate standardized risk reporting for large-scale borrowers, attracting external stakeholders.
C
CSS will provide a publicly accessible rating for individual borrowers, increasing market competition, and CRS will replace existing risk management systems to streamline the process.
D
Both CSS and CRS aim to automate the lending process, removing qualitative assessments and reducing risk management's role in loan approvals.