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The difference between a Monte Carlo simulation and a historical simulation is that a historical simulation uses randomly selected variables from past distributions, while a Monte Carlo simulation:
A)
projects variables based on a priori principles.
B)
uses randomly selected variables from future distributions.
C)
uses a computer to generate random variables.



A Monte Carlo simulation uses a computer to generate random variables from specified distributions.

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A drawback of historical simulation is it:
A)
depends on the accuracy of the random number generator.
B)
may not accurately reflect possible outcomes.
C)
may not account for very rare events.



There are two major problems with historical simulation. The first is that it cannot account for events that do not occur in the sample. If a security began trading after 1987, for example, there would be no evidence of its behavior in a market crash. The other drawback is that the analyst cannot change the parameters of the distribution to examine how small changes might affect the asset’s behavior.

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thanks for sharing

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