Answer: The results are often easy to replicate

## Explanation Monte Carlo simulations have several disadvantages in financial applications: 1. **Computational expense** (Option A): Monte Carlo simulations require generating many random samples to achieve accurate results, which can be computationally intensive and time-consuming. 2. **Potential lack of precision** (Option B): The results depend on the quality of the random number generator and the number of simulations run. With insufficient simulations, results may not be precise. 3. **Difficulty in replication** (Option C is NOT a disadvantage): The statement says "The results are often easy to replicate" - this is actually NOT true and therefore NOT a disadvantage. In reality, Monte Carlo results are often **hard to replicate** because they depend on random number generation and specific simulation parameters. 4. **Experiment-specific results** (Option D): Simulation results are specific to the particular experiment setup, including the random seed, number of simulations, and model assumptions. Option C is the correct answer because it states the opposite of what is true - Monte Carlo simulation results are typically **not** easy to replicate exactly due to their reliance on random number generation. The ability to easily replicate results would actually be an advantage, not a disadvantage.

Author: Nikitesh Somanthe