Alternative Data Sources for BHPH Portfolio Evaluation: Beyond Traditional Credit

Struggling with assessing creditworthiness for customers without traditional credit scores? Alternative data can help you make better lending decisions by looking beyond conventional credit reports. Here's how:

• Why It Matters: Many U.S. households are unbanked or underbanked, leaving gaps in traditional credit data. Alternative data fills these gaps, offering insights into financial behavior like rent, utility, and phone payments.
• Key Benefits: Alternative data improves risk prediction, helps identify reliable borrowers, and supports tailored loan offers. For example, rental payment history is a strong predictor of auto loan performance.
• How to Start: Use tools like Loan Origination Systems (LOS) to integrate alternative data sources, ensuring compliance with legal and privacy rules.

Quick Overview of Alternative Data Types:

• Utility Bills: Tracks payment consistency for electricity, gas, water, and internet.
• Rent Payments: Examines housing stability and payment patterns.
• Phone Usage: Analyzes bill payment history and account stability.
• Social Media: Verifies employment and community ties (within legal guidelines).

By combining traditional credit data with these alternative sources, you can better evaluate creditworthiness, reduce default risks, and expand your customer base.

How Alternative Data is Transforming Lending

Main Alternative Data Sources

Here are some key types of alternative data that can enhance portfolio evaluation. These sources help sharpen risk analysis and provide deeper insights into customer behavior.

Utility Bill Payment Records

Utility payment records offer a glimpse into a person's financial habits. These include payments for:

• Electricity
• Natural gas
• Water
• Internet services

Consistent payments suggest good financial management, while late payments or service interruptions may indicate potential risks.

Rent Payment History

Rental payment records provide valuable insights into long-term payment patterns. Common sources include:

Studies indicate that rental payment history is a strong predictor of auto loan performance, especially for individuals with limited credit history.

Phone Usage Data

Phone usage data adds another layer to understanding customer behavior. Relevant factors include:

• Consistency in monthly bill payments
• Length of service with a carrier
• Stable usage patterns
• Account standing over time

Regular payments and steady usage often align with positive loan performance, while frequent carrier changes or service disruptions could signal risk.

Social Media Data

Social media data, when used within legal guidelines, can complement traditional credit evaluation methods. Lenders might review:

• Professional networking profiles to verify employment
• Evidence of business ownership or entrepreneurial activities
• Signs of location stability and community ties
• Records of career progression and achievements

Modern loan systems integrate these data points into traditional models, simplifying and improving the evaluation process.

sbb-itb-23a5340

How to Add Alternative Data to Your Process

Planning Your Data Approach

Adding alternative data to your process starts with a solid plan. First, pinpoint data sources that align with your portfolio objectives and provide reliable insights. Then, ensure your team is ready to work with these new data streams. Finally, implement software and systems designed to handle and analyze this type of data effectively.

Required Software and Systems

To make alternative data work for you, a Loan Origination System (LOS) is essential. Here’s what your system should include:

• Data Processing Tools: Must handle large-scale data in real time.
• Integration Features: APIs and connectors to link multiple data sources.
• Machine Learning Tools: AI-driven features for predictive analysis.
• Compliance Capabilities: Built-in tools to ensure legal and regulatory adherence.

Companies like LexisNexis Risk Solutions and PointPredict offer specialized tools for analyzing alternative data within the BHPH (Buy Here Pay Here) sector.

Legal and Privacy Rules

When working with alternative data, following legal and privacy regulations is critical. Here's what you need to focus on:

• Data Collection Guidelines:
  • Get explicit customer consent for data collection.
  • Document all data sources and their intended use.
  • Use secure methods to store data.
  • Regularly audit how data is handled.
• Fair Lending Practices:
  • Use consistent criteria for evaluating applications.
  • Ensure transparency in decision-making processes.
  • Keep detailed records of risk assessments.
  • Test your models regularly to identify and correct any bias.
• Privacy Protection:
  • Encrypt all sensitive information.
  • Restrict data access to authorized personnel only.
  • Set clear data retention policies.
  • Establish protocols for responding to data breaches.

Results of Using Alternative Data

Better Risk Prediction

Incorporating alternative data has significantly improved the accuracy of risk assessments for BHPH portfolio evaluations. Experian's 2018 report revealed that nearly 80% of lenders now combine FICO scores with at least one alternative data source. This approach is especially useful for near-prime and subprime applicants, where traditional credit data often falls short.

By blending traditional and alternative data, lenders achieve more precise default predictions. These enhanced assessments provide a clearer understanding of customer behavior and potential risks.

Deeper Customer Understanding

Alternative data offers insights into customer payment habits and financial behavior that traditional credit data alone cannot provide. When combined, traditional and alternative data sources can produce over a thousand consumer attributes for analysis. Here's a breakdown of how specific data sources provide valuable insights:

"Alternative credit data expands lending opportunities by responsibly extending credit to a wider group of borrowers... It allows lenders to make better quality decisions and structure loans to match borrower qualifications without assuming undue risk." - defi SOLUTIONS

Market Position Benefits

For BHPH dealers, analyzing alternative data provides a strong competitive advantage. With a large number of unbanked and underbanked households, this approach opens up new opportunities to evaluate and serve these customers effectively.

By using alternative data in portfolio analysis, dealers can:

• Uncover New Borrowers: Identify qualified individuals with limited traditional credit histories.
• Manage Risk More Effectively: Use comprehensive data to better predict default risks.
• Tailor Loans to Borrowers: Design payment plans that align with customer capabilities.

Combining alternative credit data with automation and advanced decision-making tools allows dealers to make faster, more accurate lending decisions while keeping risks under control.

Conclusion

Key Takeaways

Alternative data is reshaping how BHPH portfolios are evaluated. It offers deeper insights into borrowers, particularly in segments often ignored by conventional credit assessments. For near-prime and subprime applicants, integrating alternative data opens up more lending opportunities while keeping risk under control.

These advancements pave the way for new methods of using alternative data in the future.

The Future of Alternative Data

Looking ahead, several trends are set to refine evaluation practices even further. Here are some key developments:

For BHPH dealers, adopting advanced LOS systems that can handle various alternative data streams is crucial. At the same time, they must ensure compliance with privacy laws while managing real-time data effectively.

"Alternative credit data expands lending opportunities by responsibly extending credit to a wider group of borrowers... It allows lenders to make better quality decisions and structure loans to match borrower qualifications without assuming undue risk." - defi SOLUTIONS

Related posts

• BHPH Debt Portfolios: A Comprehensive Analysis for Institutional Investors
• Collateral Valuation Strategies for BHPH Portfolio Risk Management
• Risk Scoring Models for BHPH Portfolios: Developing Custom Evaluation Metrics
• Statistical Analysis of BHPH Performance Drivers: Multivariate Approaches