Explanation:
The KMV model diverges from the classical Merton model's assumption of a normal distribution. Instead, it maps the calculated Distance to Default (DD) to an Expected Default Frequency (EDF) using an empirical database of historical defaults. This aligns the probabilities more closely with actual observed market events rather than purely theoretical distributions.
Ultimate access to all questions.
Q.62 A financial analyst is evaluating a firm using the KMV model to estimate the firm's probability of default. The analyst has calculated the firm's distance to default and now needs to determine the probability of default. Which of the following best describes how the KMV model maps distance to default to probability of default?
A
By applying a standard normal distribution to the distance to default
B
By using a Poisson distribution based on the firm's past default history.
C
By deriving an empirical distribution of default frequencies from historical data.
D
Through a constant default probability.
No comments yet.