Which metric would be most indicative of a customer's likelihood of defaulting on a loan, based on historical data analysis?

Explanation: The number of recent credit inquiries is a critical metric in assessing a customer's creditworthiness. A high number of inquiries often indicates financial stress or aggressive credit-seeking behavior, which correlates with an increased risk of loan default. Financial institutions incorporate this metric into credit scoring models, such as FICO, as it provides a quantifiable indicator of potential risk. Coupled with other variables like payment history and debt-to-income ratio, this measure helps lenders make informed decisions and minimize default risk. Advanced data analysis techniques enhance its predictive accuracy, ensuring robust risk management. Option A: Geographic location might reveal demographic insights but is not directly predictive of loan default. Option C: Time spent on an application form has minimal correlation with default risk. Option D: Referrals indicate network strength but do not provide risk insights. Option E: Social media activity is subjective and unreliable for risk prediction in loan contexts.