NCUA · NCUA-14-2025 · record R2439
CoStar CRE Modeling
National Credit Union Administration · NCUA|ONES
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- High-impactSource: a) High-impact
- Impact justification
- Not reported
- Start date
- 2020 (year precision)
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Procurement and Financial Management
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Provides CRE performance projections under economic stress
Expected benefits
Improves accuracy of stress test results for CRE exposures
System outputs
CRE loan performance projections
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- CoStar Commercial Loan Model
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- CoStar
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- CRE loan data, economic assumptions
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported