Chapter 10 – Credit Risk: Individual Loan Risk
10-7
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The models use data on observed economic and financial borrower characteristics to assist an FI
manager in (a) identifying factors of importance in explaining default risk, (b) evaluating the
relative degree of importance of these factors, (c) improving the pricing of default risk, (d)
screening bad loan applicants, and (e) more efficiently calculating the necessary reserves to
protect against future loan losses.
19. Suppose there were two factors influencing the past default behavior of borrowers: the
leverage or debt–assets ratio (D/A) and the profit margin ratio (PM). Based on past default
(repayment) experience, the linear probability model is estimated as:
20. Suppose the estimated linear probability model used by an FI to predict business loan
applicant default probabilities is PD = 0.03X1 + 0.02X2 – 0.05X3 + error, where X1 is the
borrower’s debt/equity ratio, X2 is the volatility of borrower earnings, and X3 = 0.10 is the
borrower’s profit ratio. For a particular loan applicant, X1 = 0.75, X2 = 0.25, and X3 = 0.10.
a. What is the projected probability of default for the borrower?
b. What is the projected probability of repayment if the debt/equity ratio is 2.5?
c. What is a major weakness of the linear probability model?