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Answer: Monte Carlo simulations incorporate scenarios that span the entire probability space
The correct answer is A. Monte Carlo simulations are considered exceptionally effective compared to probability trees because they incorporate scenarios that span the entire probability space. This allows Monte Carlo simulations to capture all interrelationships between variables and serial correlations that would otherwise not be identifiable in simpler methods like probability trees. Monte Carlo simulations generate thousands or millions of possible outcomes by randomly sampling from probability distributions of input variables, providing a more comprehensive view of the risk profile of a capital project. While options B and C might be true in some contexts, they don't explain the fundamental effectiveness of Monte Carlo simulations. Option D is incorrect because Monte Carlo simulations allow comparison of all NPV outcomes, not just positive ones.
Author: Nikitesh Somanthe
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Which of the following statements best explains why Monte Carlo simulations are considered exceptionally effective compared to probability trees when appraising a capital project?
A
Monte Carlo simulations incorporate scenarios that span the entire probability space
B
Monte Carlo simulations consume less time
C
Monte Carlo simulations are embedded within most modern computer programs
D
Monte Carlo simulations allow for the comparison of only the net present values that are positive
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