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FRM® Practice Questions (PQs; for PAID customers)
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P1.T2. Quantitative Analysis
Practice questions for Quantitative Analysis: Econometrics, MCS, Volatility, Probability Distributions and VaR (Intro)
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P1.T2.24.2. Rescaling variables in data preparation
Nicole Seaman
Apr 12, 2024
Replies
2
Views
46
Oct 3, 2024
Clay Carter
P1.T2.24.1. Vector Machine Methods and Neural Networks
Nicole Seaman
Apr 5, 2024
Replies
0
Views
29
Apr 5, 2024
Nicole Seaman
P1.T2.23.7. Decision trees and regularization
Nicole Seaman
Oct 16, 2023
Replies
4
Views
145
Apr 29, 2024
David Harper CFA FRM
P1.T2.23.6. Logistic regression (2nd set)
David Harper CFA FRM
Sep 4, 2023
Replies
5
Views
153
Oct 24, 2024
HKim1365
H
P1.T2.23.5. Logistic regression
Nicole Seaman
Jun 5, 2023
Replies
0
Views
54
Jun 5, 2023
Nicole Seaman
P1.T2.23.4. Reinforcement learning
David Harper CFA FRM
May 29, 2023
Replies
2
Views
111
Jun 8, 2023
David Harper CFA FRM
P1.T2.23.3 The k-means algorithm and natural language (NLP) steps
Nicole Seaman
May 22, 2023
Replies
0
Views
60
May 22, 2023
Nicole Seaman
P1.T2.23.2 Principal component analysis (PCA) and model complexity
Nicole Seaman
May 15, 2023
Replies
0
Views
63
May 15, 2023
Nicole Seaman
P1.T2.23.1. Machine-learning splits and sub-samples
Nicole Seaman
May 8, 2023
Replies
2
Views
84
Mar 21, 2024
Clay Carter
A
R13-P1-T2-Miller-Ch3-Stats-v3 and Quantile Function (VaR
AUola2165
May 4, 2023
Replies
3
Views
44
May 6, 2023
AUola2165
A
P1.T2.21.6 Bootstrapping and antithetic/control variates
Nicole Seaman
May 17, 2021
Replies
11
Views
239
Feb 10, 2024
gsarm1987
P1.T2.21.5 Monte Carlo simulation
Nicole Seaman
May 10, 2021
Replies
7
Views
228
Apr 22, 2022
HLuo5353
H
P1.T2.21.4. Non-normal distributions and rank correlations
Nicole Seaman
May 3, 2021
Replies
11
Views
449
Feb 7, 2024
SKuma2148
S
P1.T2.21.3. Returns, volatility and non-normal distributions
Nicole Seaman
Apr 19, 2021
Replies
8
Views
222
Mar 14, 2023
David Harper CFA FRM
P1.T2.21.2. Unit roots and Dickey-Fuller
David Harper CFA FRM
Apr 12, 2021
Replies
8
Views
327
Dec 14, 2021
marinrued
M
P1.T2.21.1. Nonlinear time trends and unit roots
David Harper CFA FRM
Apr 5, 2021
Replies
6
Views
316
Oct 8, 2023
Agil Zeynalli
P1.T2.20.25 Forecasting ARMA models
Nicole Seaman
Oct 28, 2020
Replies
2
Views
204
Nov 3, 2020
David Harper CFA FRM
P1.T2.20.24. Stationary Time Series: Box-Pierce test and model selection with AIC and BIC
Nicole Seaman
Oct 21, 2020
Replies
14
Views
404
Aug 6, 2022
David Harper CFA FRM
P1.T2.20.23. Stationary Time Series: autoregressive moving average (ARMA) models
Nicole Seaman
Oct 14, 2020
Replies
6
Views
305
Feb 8, 2022
David Harper CFA FRM
P1.T2.20.22. Stationary Time Series: autoregressive (AR) and moving average (MA) processes
Nicole Seaman
Oct 7, 2020
Replies
18
Views
448
Apr 3, 2023
NChau1081
N
P1.T2.20.21. Stationary Time Series: covariance stationary, autocorrelation function (ACF) and white noise
Nicole Seaman
Sep 30, 2020
Replies
18
Views
505
May 16, 2023
David Harper CFA FRM
P1.T2.20.20 Regression diagnostics: outliers (Cook's distance), m-fold cross-validation, and residual diagnostics
Nicole Seaman
Sep 23, 2020
Replies
10
Views
487
Mar 27, 2022
David Harper CFA FRM
P1.T2.20.19. Regression diagnostics: omitted variables, heteroskedasticity, and multicollinearity
Nicole Seaman
Sep 16, 2020
Replies
12
Views
514
Feb 5, 2024
SKuma2148
S
P1.T2.20.18. Multiple regression
Nicole Seaman
Sep 9, 2020
Replies
19
Views
858
Oct 3, 2024
gsarm1987
P1.T2.20.17. Hypothesis tests of univariate linear regression model
Nicole Seaman
Sep 2, 2020
Replies
12
Views
231
Feb 10, 2022
David Harper CFA FRM
P1.T2.20.16. Linear regression models
Nicole Seaman
Aug 26, 2020
2
Replies
21
Views
495
Mar 4, 2024
David Harper CFA FRM
P1.T2.20.15. P-value and confidence intervals
Nicole Seaman
Aug 19, 2020
2
Replies
29
Views
629
Jul 14, 2024
David Harper CFA FRM
P1.T2.20.14. Hypothesis testing
Nicole Seaman
Aug 12, 2020
2
3
Replies
40
Views
944
Sep 20, 2024
HKim1365
H
P1.T2.20.13. Coskewness and cokurtosis
Nicole Seaman
Aug 5, 2020
Replies
17
Views
509
Oct 10, 2021
Christelle D
C
P1.T2.20.12. BLUE estimators, Law of large numbers (LLN), and central limit theorem (CLT)
Nicole Seaman
Jul 29, 2020
Replies
3
Views
269
Sep 12, 2020
dharashah.1089
D
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