Explanation:
One key reason Zenith Bank may choose a beta distribution for modeling credit loss distribution is due to its flexibility. Depending on the values of the parameters alpha (α) and beta (β), the beta distribution can take on various shapes including symmetrical or skewed. This is beneficial in credit risk modeling as it can more accurately represent the range of potential loss scenarios including the occurrence of extreme losses.
A is incorrect. While the beta distribution can be symmetrical, it is not necessarily always so; its shape is dependent on the parameter values used in its formulation.
C is incorrect. The beta distribution does account for the full range of potential losses between 0% and 100%, not just extreme values.
D is incorrect. The mean of the beta distribution is not fixed; it varies based on the values of α and β.
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Q.6192 Zenith Bank is reviewing its risk management process and focusing on economic capital calculated for credit risk. The bank wants to use a beta distribution for modeling the credit loss distribution to estimate these risks. What is a key reason for using the beta distribution when modeling credit events losses?
A
Because the beta distribution is symmetrical and aligns with the normal distribution of events
B
Because the beta distribution is flexible and can be both symmetrical or skewed depending on parameter values
C
Because the beta distribution focuses only on extreme values, therefore suitable for credit risk analysis
D
Because the beta distribution has a fixed mean, which simplifies the calculation of the expected loss
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