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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 211
A model with lag 1 and lag 4 terms is likely addressing:
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Question 212
A two‑period‑ahead forecast in an AR(1) model uses:
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Question 213
A stationary AR(1) process will eventually converge toward:
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Question 214
ARCH behavior is most associated with:
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Question 215
A common test for ARCH is to:
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Question 216
A series with strong ARCH effects is best modeled using:
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Question 217
Two non‑stationary series can be modeled together in levels if they are:
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Question 218
Cointegration implies:
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Question 219
If two non‑stationary series are not cointegrated, regression in levels is likely:
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Question 220
Cointegration testing is used to determine whether:
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Question 221
If stock prices and oil prices are cointegrated, then:
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Question 222
Forecasts several periods ahead are generally:
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Question 223
A model with DW = 0.10 should be:
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Question 224
If a series shows strong seasonal patterns, the model should include:
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Question 225
A correctly specified AR model should have residuals that are:
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Question 226
A model with uncorrelated residuals and stable variance is:
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Question 227
Using bigrams like “stock_market” helps:
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Question 228
A common method to address class imbalance is:
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Question 229
Undersampling the majority class can lead to:
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Question 230
A correlation matrix is used to:
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Question 231
High correlation between two features suggests:
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Question 232
Multicollinearity occurs when:
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Question 233
A common way to handle multicollinearity is to:
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Question 234
Standardization typically transforms a numeric feature to have:
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Question 235
Feature engineering can include:
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Question 236
A feature with many missing values may:
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Question 237
A heat map of correlations helps identify:
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Question 238
A pair of features with correlation near zero are:
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Question 239
A feature that is strongly correlated with the target but also with many other features may:
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Question 240
A distance metric that works well for binary data is:
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