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An analyst uses Monte Carlo simulation to measure Conditional Value at Risk (CVaR) on a model that is calibrated to a multivariate Student's t-distribution. The model is complex and several factors have limited historical data. The model most likely has:
A
low estimation error.
B
high specification error.
C
the ability to accommodate skewness and excess kurtosis in factor return data.