Explanation:
The beta distribution combined with a Monte Carlo Simulation is the best method for tail fitting in credit risk measurement. The Monte Carlo Simulation is a numerical procedure that uses random sampling to generate results for probabilistic systems. When combined with the analytical solution of the beta distribution, it can effectively fit the tail of the risk profile of a credit portfolio. This is because the Monte Carlo Simulation can account for the randomness and variability in the credit portfolio, which the beta distribution might not capture entirely.
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Q.3678 One of the key concerns in using beta distributions for measuring credit risks is the difficulty in fitting the beta distribution exactly to the tail of the risk profile of the credit portfolio. The tail fitting exercise is best accomplished by combining:
A
The normal distribution with a beta distribution
B
The beta distribution with a uniform distribution
C
The beta distribution with a Monte Carlo Simulation
D
The beta distribution with a VaR