Residual Values App
Predict Vehicle Values With Confidence
The JD Power Residuals Model 8.0 offers a breakthrough approach to residual forecasting that improves accuracy across today’s evolving market. Residuals App allows users to aggregate data at Industry, Segment, Make, Model and Style. It combines JD Power PIN data, Voice-of-the-Customer insights, and EV intelligence—including range retention—to deliver precise forecasts across all manufacturers, including EV-only OEMs like Tesla and Rivian. Data is updated bi-monthly to align with lease cycles.
Core Strengths
Breakthrough Forecasting
• Combines macro (GDP, gas prices) and micro (features, incentives, brand surveys) variables
• Includes Tesla, Rivian, and EV-specific factors such as range retention vs. consumer expectations
• Powered by PIN data: incentives, customer cash, holdbacks, geography
• Provides APEAL-based design-change detection
Business Impact
Improved Pricing, Profitability
• Boosts forecasting accuracy using real-world customer behavior and demand signals
• Provides future-proof and more precise EV forecasting methodology
• Reduces risk with granular, frequently updated residual projections
• Improves lease pricing, depreciation modeling, and risk management
• Offers better end-of-lease value prediction for new models
Key Features
EV-Ready Forecasting
• Correctly weights EV-specific factors, including range retention
• Includes full coverage of EV-only OEMs such as Tesla & Rivian
• Uses consumer expectation insights for improved predictiveness
Multi-Layer Modeling
• Uses Bayesian regression + XGBoost for robust predictive stability
• Integrates macroeconomic indicators and detailed vehicle attributes
• Accounts for incentives, cash programs, and regional effects
High-Frequency, High-Resolution Forecast Outputs
• Provides 3–60-month forecasts in % of MSRP and dollars
• Offers trim-level granularity for real-world application
• Bi-monthly updates are aligned with leasing cycles
Who Residuals App Is Built For
• OEM finance & pricing teams
• Captive finance companies
• Banks & credit unions
• Fleet managers
• Automotive investment firms
• Any team needing to forecast depreciation or set lease residuals
