Answer: When applying logistic regression models, the coefficients are estimated by the maximum likelihood estimation (MLE) method.

The correct answer is A. When applying logistic regression models, the coefficients are estimated by the maximum likelihood estimation (MLE) method. Logistic regression is a statistical method used to predict the probability that a given observation belongs to a particular category. In the context of default prediction, logistic regression can be used to estimate the likelihood of a borrower defaulting based on various factors. The MLE method is a common technique for estimating the coefficients of logistic regression models, as it seeks to find the parameter values that maximize the likelihood of the observed data. The other options provided are incorrect for the following reasons: B is incorrect because the Merton model, which is a structural model based on the value of a firm's assets and liabilities, is primarily applicable to liquid, publicly traded companies. It requires continuous calibration, which can be costly and complex for smaller banks, and relies on market prices, volatility, and interest rates that are subject to change. C is incorrect because the coefficients of linear discriminant analysis (LDA) are not estimated by the method of least squares. Instead, LDA maximizes the separation between different groups by maximizing homogeneity within each group and minimizing the overlap between groups. D is incorrect because the KMV model, another structural model, is designed to be dynamic and can handle issuers with complex capital structures. It includes equity, short-term debt, long-term debt, and convertible debt in its analysis, contrary to the statement in the option.

Author: LeetQuiz Editorial Team