Introduction
The sudden increase in default rates for IIFL Finance's small business loans over the past month is a critical issue that requires immediate attention and thorough analysis. As we delve into this problem, we'll systematically examine potential causes, gather relevant data, and develop actionable solutions to mitigate the risk and prevent future occurrences.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could explain temporary spikes in default rates. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on cyclical mitigation strategies; if not, we'd investigate other factors.
Why it matters: Changes in loan portfolio could expose us to higher-risk sectors. Expected answer: Some shift towards newer industries in the past quarter. Impact on approach: If confirmed, we'd analyze the risk profiles of these new sectors.
Why it matters: Changes in underwriting could directly impact loan quality. Expected answer: Minor tweaks to streamline the process implemented recently. Impact on approach: We'd scrutinize these changes and their potential impact on loan quality.
Why it matters: External economic pressures could be driving the increase in defaults. Expected answer: Some reports of economic slowdown in certain regions. Impact on approach: We'd correlate default rates with regional economic indicators.
Why it matters: Ensures we're dealing with a real issue, not a data anomaly. Expected answer: No changes in definition or known system issues. Impact on approach: If confirmed, we'd focus on actual default causes rather than data issues.
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