Quantitative Methods

Simulation Methods practice questions

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.

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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.

How to practice

Work each item under time pressure, then compare your reasoning with the step-by-step explanation and key takeaway.

Review signal

Missed questions should become scheduled reviews when the error comes from a concept gap, formula setup, or answer-choice trap.

Easy

Quantitative Methods

Simulation Methods

Asset prices are often modeled as lognormal because a lognormal variable:

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Easy

Quantitative Methods

Simulation Methods

Monte Carlo simulation is best described as a method that:

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Easy

Quantitative Methods

Simulation Methods

Bootstrap resampling most likely involves:

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Moderate

Quantitative Methods

Simulation Methods

An analyst assumes continuously compounded monthly returns are normally distributed. The corresponding one-month asset price distribution is most likely:

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Moderate

Quantitative Methods

Simulation Methods

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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Moderate

Quantitative Methods

Simulation Methods

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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Very Difficult

Quantitative Methods

Simulation Methods

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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Moderate

Quantitative Methods

Simulation Methods

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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Very Difficult

Quantitative Methods

Simulation Methods

If simple return R is -100%, the continuously compounded return ln(1 + R) is:

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