Quantitative Methods

This tutorial is about Quantitative Methods. Please find below all the sequentially organized content for this tutorial.

1. CFA L2: Quantitative Methods – Introduction
2. Quants: Correlation Analysis
3. Quants: Single Variable Linear Regression Analysis
4. Standard Error of the Estimate or SEE
5. Confidence Intervals (CI) for Dependent Variable Prediction
6. Coefficient of Determination (R-Squared)
7. Analysis of Variance or ANOVA
8. Multiple Regression Analysis
9. Multiple Regression and Coefficient of Determination (R-Squared)
10. Fcalc – the Global Test for Regression Significance
11. Regression Analysis and Assumption Violations
12. Qualitative and Dummy Variables in Regression Modeling
13. Time Series Analysis: Simple and Log-linear Trend Models
14. Auto-Regressive (AR) Time Series Models
15. Auto-Regressive Models – Random Walks and Unit Roots
16. ARMA Models and ARCH Testing
17. How to Select the Most Appropriate Time Series Model?

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