FCA develops new methodology to track consumer credit journeys
The Financial Conduct Authority (FCA) has developed a new methodology to identify early signs of consumer financial distress. It uses Credit Reference Agency data and advanced survival analysis to track credit journeys.
Mapping consumer credit journeys
The Financial Conduct Authority has developed a refined, interpretable consumer segmentation model using monthly Credit Reference Agency (CRA) data from February 2017 to February 2024.
This extensive dataset covers over 400,000 consumers, detailing credit products like cards, loans, and mortgages, alongside arrears records.
The data is aggregated into rolling six-month windows, with balances averaged and any occurrence of arrears or default recorded.
A rule-based approach was chosen for segmentation due to its superior interpretability and time stability compared to more complex clustering methods like K-means or Gaussian Mixture Models.
This clarity is vital for supervisory use, enabling a better understanding of consumer behavior and the impact of policy changes.
The primary objective is to apply survival analysis to model time-to-distress, assessing the influence of various features on consumers entering financial difficulty and anticipating emerging risks.
Segmenting risk and tracking transitions
The FCA's rule-based segmentation defines five hierarchical consumer groups: Distress, At Risk, Secured Credit Users, Unsecured Credit Users, and Low Credit Engagement.
The largest segment is Low Credit Engagement (37.9%), followed by Secured Credit Users (32.9%).
Consumers in Distress account for 6.4%, with At Risk at 4.4%.
Analysis shows that individuals in distress frequently use high-cost short-term credit and home credit, often having a median age of 42. Segment transitions were tracked six-monthly from 2017 to 2024.
While most consumers show persistence, those 'At Risk' are more prone to moving into a different category.
For instance, consumers in Distress typically remain for 12.8 months, while Secured Credit Users stay for 51.5 months.
A robust tool for early risk detection
The FCA's detailed methodology offers a robust and interpretable framework for identifying consumer financial distress early.
Prioritizing rule-based segmentation over complex clustering ensures practical applicability for supervisory monitoring and policy assessment.
This approach is crucial for proactive consumer protection, allowing regulators to intervene before situations escalate.