Prime FICO Distribution - NAROT 2017-A
NAROT 2017-A has 76.9% of its pool with Super-prime FICO scores.
Chart Summary
NAROT 2017-A has 76.9% of its pool comprised of loans with Super-prime FICO scores, totaling $36,977,691 in unpaid principle balance according to Edgar sec.gov filings. The reporting period for this information begins 2021-04-01 and ends 2021-04-30.
Prompts
Explore a variety of thoughtfully crafted prompts below, each tailored for specific use cases. Each card includes a convenient copy-paste button that lets you seamlessly transfer the prompt into your favorite AI tool. Whether you're using ChatGPT, Google Bard, or Claude, these prompts are designed to help you unlock new insights and ideas. Simply click 'Copy' to get started!
Summarize Prime FICO Distribution
Summarize the prime fico distribution for NAROT 2017-A. Highlight the distribution of loans across the prime FICO score bands (e.g., 720+, 700-719). Discuss the dominance of 720+ scores and its implications for the pool's credit quality and risk profile.
Assess Credit Quality of Prime Pool
Analyze the prime fico distribution for NAROT 2017-A to assess the overall credit quality of the pool. Discuss how the heavy concentration in the 720+ category (87.6% of the pool) reflects borrower quality and reduces default risk.
Compare to Market Averages for Prime Pools
Benchmark the prime fico distribution for NAROT 2017-A against market averages for FICO Prime distributions in ABS auto deals. Highlight any deviations, such as a larger-than-usual share of 720+ borrowers, and discuss possible reasons for these differences.
Evaluate Diversification Across Prime Scores
Using the prime fico distribution for NAROT 2017-A, evaluate the diversification across FICO score bands within the prime pool. Discuss whether the smaller representation of 700-719 loans impacts pool stability or diversification.
Visualize Prime Score Distribution (Bar Chart)
Create a bar chart visualization for the prime fico distribution of NAROT 2017-A, showing the UPB for each FICO score band (e.g., 720+, 700-719). Highlight the dominant 720+ category and annotate the chart with its percentage of the pool.
Discuss Performance Expectations for Prime Pools
Using the prime fico distribution for NAROT 2017-A, discuss performance expectations for a pool heavily concentrated in prime FICO scores. Highlight how this composition affects cash flow predictability, delinquency risk, and investor confidence.
Risk Assessment for Prime FICO Bands
Analyze the prime fico distribution for NAROT 2017-A to assess risks within the prime pool. Focus on whether loans in the 700-719 band may carry slightly higher risk and discuss how they could affect overall pool performance under stress scenarios.
Compare Prime Pools Across Peer Deals
Compare the prime fico distribution for NAROT 2017-A to peer ABS auto deals with prime borrower pools. Discuss differences in the distribution of 720+ and 700-719 loans and what these differences suggest about underwriting standards and borrower demographics.
Assess Sensitivity to Economic Conditions
Discuss how the prime fico distribution for NAROT 2017-A might respond to economic shifts, such as rising interest rates or declining consumer confidence. Highlight whether the strong concentration in 720+ borrowers provides resilience or introduces risks.
Analyze Trends in Prime Borrower Pools
Compare the prime fico distribution for NAROT 2017-A to historical trends in prime borrower pools for ABS auto deals. Highlight whether the concentration in 720+ loans has increased or decreased over time and discuss possible reasons for these trends.
Visualize Prime Loan Count by FICO Band
Using the prime fico distribution for NAROT 2017-A, create a visualization of the loan count by FICO band (e.g., 720+, 700-719). Highlight whether the majority of loans are heavily weighted toward higher FICO bands and discuss the implications.
Assess Borrower Quality in Prime Segments
Analyze the borrower quality implied by the prime fico distribution for NAROT 2017-A. Discuss whether the pool composition suggests strong underwriting standards and what it means for delinquency and prepayment risks.
Forecast Prime Pool Performance Under Stress
Using the prime fico distribution for NAROT 2017-A, project how the pool might perform under stress scenarios, such as a mild economic downturn. Highlight whether loans in the 700-719 band are more likely to default compared to those in the 720+ category.
Other Links
Get the data
Dataset used to create this chart
Exact curated dataset used to create this chart and other charts on this site.