What to know
Identify the rule, formula, or decision criterion before reading the answer choices. CFA Level I distractors often use the right vocabulary with the wrong condition.
Simulation Methods is part of CFA Level I Quantitative Methods. Quantitative Methods questions emphasize time value of money, probability, sampling, hypothesis testing, regression, and return statistics. Use this page to review the controlling ideas, then work through 9 questions with answer explanations and common traps.
Review the worked explanations before moving into adaptive practice. The app version can mix this topic with due reviews and weak related concepts.
Practice this topicIdentify the rule, formula, or decision criterion before reading the answer choices. CFA Level I distractors often use the right vocabulary with the wrong condition.
Work each item under time pressure, then compare your reasoning with the step-by-step explanation and key takeaway.
Missed questions should become scheduled reviews when the error comes from a concept gap, formula setup, or answer-choice trap.
Simulation Methods
Asset prices are often modeled as lognormal because a lognormal variable:
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Monte Carlo simulation is best described as a method that:
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Bootstrap resampling most likely involves:
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An analyst assumes continuously compounded monthly returns are normally distributed. The corresponding one-month asset price distribution is most likely:
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A simulation produces 10,000 one-year portfolio returns, of which 1,300 are below 0%. The simulated probability of a loss is closest to:
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For a short data history with clear non-normal tail behavior, a bootstrap simulation is most likely preferred to a normal parametric simulation because it:
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A Monte Carlo model estimates a 5% probability of a portfolio loss greater than 20%. The most accurate interpretation is that:
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An analyst builds a simulation using expected return, volatility, and correlation assumptions that were estimated during an unusually calm period. The most relevant concern is:
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If simple return R is -100%, the continuously compounded return ln(1 + R) is:
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