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Free CFA Quantitative Methods Practice Questions & Answers

1,200 exam-style Quantitative Methods questions. Pick your answer, hit Check answer, and see the worked solution — free to start, no signup.

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Question 811

Residual autocorrelation is tested by comparing the autocorrelation to:

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Question 812

If residual autocorrelations are significantly different from zero, the model is:

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Question 813

The standard error of an estimated autocorrelation is approximately:

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Question 814

Residual autocorrelation tests are needed because:

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Question 815

If none of the residual autocorrelations are significant, we conclude:

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Question 816

A mean‑reverting series tends to:

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Question 817

In an AR(1) model, the mean‑reverting level is:

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Question 818

If the current value is above the mean‑reverting level, the next forecast will:

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Question 819

A series with a lag coefficient of 0.2 reverts:

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Question 820

Mean reversion occurs only when the lag coefficient is:

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Question 821

A one‑period‑ahead forecast in an AR(1) model uses:

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Question 822

A two‑period‑ahead forecast requires:

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Question 823

Multiperiod forecasts are more uncertain because:

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Question 824

In an AR(1) model, the two‑period‑ahead forecast uses the lag coefficient:

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Question 825

If the lag coefficient is close to 1, multiperiod forecasts:

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Question 826

An AR(2) model uses:

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Question 827

If an AR model has uncorrelated residuals, it is likely:

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Question 828

A lag coefficient greater than 1 in absolute value implies:

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Question 829

The error term in an AR model is assumed to have:

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Question 830

A high lag coefficient close to 1 indicates:

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Question 831

A random walk is:

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Question 832

A time series with constant variance but changing mean is:

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Question 833

A model with serially correlated errors violates:

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Question 834

A time series with no predictable pattern and no autocorrelation is best described as:

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Question 835

A stationary AR(1) series will eventually converge toward:

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Question 836

A time series with a unit root is best described as:

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Question 837

First‑differencing a time series is typically used to:

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Question 838

A covariance‑stationary time series must have:

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Question 839

A random walk is an example of a process that:

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Question 840

A series that steadily increases over time is most likely:

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Free CFA Quantitative Methods Practice Questions & Answers

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