FICO Distribution - EART Select 2025-1
EART Select 2025-1 has 47.3% of its pool with Prime FICO scores.
Chart Summary
EART Select 2025-1 has 47.3% of its pool comprised of loans with Prime FICO scores, totaling $159,144,586 in unpaid principle balance according to Edgar sec.gov filings. The reporting period for this information begins 2025-03-01 and ends 2025-03-31.
Prompts
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Summarize FICO Score Distribution
Summarize the fico distribution for EART Select 2025-1. Break down the number of loans, UPB, and percentage of the pool for each FICO category (e.g., Super-prime, Prime, Subprime). Highlight the dominant FICO segment and what this indicates about the credit quality of the pool.
Highlight Credit Quality Concentration
Analyze the fico distribution for EART Select 2025-1 to identify any concentration in specific FICO categories. Discuss the implications of having a high percentage of the pool in Super-prime or Prime categories versus Subprime or Deep-subprime.
Compare to Historical FICO Trends
Compare the fico distribution for EART Select 2025-1 to historical FICO score distributions for ABS auto deals issued since 2017. Highlight any deviations, such as a larger-than-average allocation to Subprime, and discuss what this indicates about underwriting or market conditions.
Visualize Credit Tier Distribution (Bar Chart)
Create a bar chart visualization based on the fico distribution for EART Select 2025-1, showing the UPB for each FICO category. Highlight the largest FICO category with a distinct color and annotate the chart with its percentage of the pool.
Risk Assessment for Subprime Allocations
Using the fico distribution for EART Select 2025-1, assess the risk associated with loans in Subprime and Deep-subprime categories. Discuss how these allocations could impact delinquency and default rates in various economic scenarios.
Impact of Missing FICO Data
Evaluate the potential risks associated with the "Not provided" FICO category in the fico distribution for EART Select 2025-1. Discuss whether missing FICO data might obscure risks or indicate specific underwriting practices.