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An investor wants to determine the sensitivity of returns of the benchmark and risk parity portfolios. The investor performs two different Monte Carlo simulations:
Simulation 1: Uses a multivariate normal distribution for the factor returns
Simulation 2: Uses a multivariate Student's-t-distribution for the factor returns
Compared to Simulation 1, which of the following is most likely an advantage of Simulation 2?
A
Simulation 2 requires fewer parameters to be estimated from historical data
B
Simulation 2 significantly reduces the number of required steps in the Monte Carlo simulation process
C
Simulation 2 can account for skewness and excess kurtosis often observed in factor and asset return data