Question
Which metric would be most indicative of a customer's
likelihood of defaulting on a loan, based on historical data analysis?Solution
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.
Find the simplified value of the given expression:
{(1 x 2) + (3 + 4) - (5 x 6) + (7 + 8) - (9 x 10)}
40 × 5 + 27) × 9 = ?
4368 + 2158 – 596 - ? = 3421 + 1262
115% of 40 + 3 × 4 = ? × 11 – 8
2850 ÷ 2.5 - ? × 42 = 300
What will come in the place of question mark (?) in the given expression?
(5/8) × 1600 + (2400 ÷ 25) = ?Â
236.23-653.23+696.23=?
15848 ÷ 4 – 793 × 6 + 3628 = 3 × ?
(1/3) + (2/5) + (3/4) + (11/10) = 3 – (?/12)