FRM 2026 Part I Quantitative Analysis Monte Carlo Simulation Free Quiz 1

Practice FRM 2026 Part I Quantitative Analysis MCQs from Monte Carlo Simulation. Get instant results with Explanation.

General10 MCQs

1. What is Monte Carlo simulation?

A. Monte Carlo simulation uses deterministic methodsB. Monte Carlo simulation uses random sampling to estimate outcomesC. Monte Carlo simulation is only for theoretical problemsD. Monte Carlo simulation is not used in finance

2. What are the main steps in Monte Carlo simulation?

A. Monte Carlo simulation has two steps: generate random numbers and calculateB. Monte Carlo simulation does not require a modelC. Monte Carlo simulation involves defining a model, generating random inputs, running simulations, and analyzing resultsD. Monte Carlo simulation is a one-step process

3. What is the theoretical basis for Monte Carlo simulation?

A. Monte Carlo simulation relies on the law of large numbers for convergenceB. Monte Carlo simulation does not require large numbers of trialsC. Monte Carlo simulation is always accurate with few trialsD. Monte Carlo simulation does not use probability distributions

4. What is the purpose of variance reduction techniques in Monte Carlo simulation?

A. Variance reduction techniques increase the number of simulationsB. Variance reduction techniques are not used in Monte CarloC. Variance reduction techniques are only for deterministic modelsD. Variance reduction techniques reduce simulation variance for improved efficiency

5. What is the antithetic variates technique?

A. Antithetic variates increase varianceB. Antithetic variates use negatively correlated random numbers to reduce varianceC. Antithetic variates are the same as control variatesD. Antithetic variates are not used in practice

General10 MCQs

6. What is the control variates technique?

A. Control variates use independent random variablesB. Control variates are not effective for variance reductionC. Control variates use a known expected value to reduce varianceD. Control variates are the same as antithetic variates

7. What is importance sampling?

A. Importance sampling focuses sampling on important regionsB. Importance sampling samples uniformly over the entire rangeC. Importance sampling is not a variance reduction techniqueD. Importance sampling increases variance

8. How is Monte Carlo simulation used in option pricing?

A. Monte Carlo is only used for European optionsB. Monte Carlo is not used for option pricingC. Monte Carlo is slower than analytical methods for all optionsD. Monte Carlo is widely used for pricing complex options

9. How does the accuracy of Monte Carlo simulation improve with sample size?

A. Accuracy improves linearly with the number of simulationsB. Accuracy improves with the square root of the number of simulationsC. Accuracy is independent of the number of simulationsD. Accuracy improves exponentially with the number of simulations

10. How is Monte Carlo simulation used for VaR?

A. Monte Carlo cannot be used for VaR estimationB. Monte Carlo VaR assumes normalityC. Monte Carlo VaR simulates returns to estimate the distribution of portfolio lossesD. Monte Carlo VaR is less accurate than historical VaR

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