Tutorial lessons
01 Quantitative Methods
Browse the lessons available in this tutorial category.
Lessons
Tutorial lessons
QM 1 – Basics of Multiple Regression and Underlying Assumptions
Learn the basics of multiple regression and its underlying assumptions, including OLS, partial slopes, ANOVA, adjusted R-squared, residuals, and diagnostic plots.
QM 2 – Evaluating Regression Model Fit and Interpreting Model Results
Learn the basics of multiple regression, including partial slopes, OLS assumptions, regression diagnostics, ANOVA, adjusted R-squared, and residual analysis.
QM 3 – Model Misspecification
Learn model misspecification in multiple regression, including omitted variables, heteroskedasticity, serial correlation, multicollinearity, diagnostic tests, and corrections.
QM 4 – Extensions of Multiple Regression
Learn extensions of multiple regression, including influential observations, leverage, studentized residuals, dummy variables, interaction terms, logistic regression, marginal effects, and likelihood
QM 5 – Time-Series Analysis
CFA LEVEL 2 · QUANTITATIVE METHODS Time-Series Analysis Worked examples are fully visible. Check-yourself items are study aids you can reveal one at a time. Why time series break the standard r
QM 6 – Machine Learning
CFA LEVEL 2 · QUANTITATIVE METHODS Machine Learning Worked examples are fully visible. Check-yourself items are study aids you can reveal one at a time. Machine learning in the investment process The
QM 7 – Big Data Projects
CFA LEVEL 2 · QUANTITATIVE METHODS Big Data Projects Worked examples are fully visible. Check-yourself items are study aids you can reveal one at a time. Big data and the four Vs in investment