Quantitative Methods
Quantitative Methods
Master the quantitative foundations used across the CFA curriculum, from rates and TVM to regression, inference, and modern data techniques.
M01
Rates and Returns
Understand rate conventions, return calculations, and how annualisation and compounding affect CFA-style performance questions.
M02
The Time Value of Money in Finance
Apply present value and cash flow shapes to bonds, mortgages, dividend stocks, and no-arbitrage pricing.
M03
Statistical Measures of Asset Returns
Choose the right measures of central tendency, dispersion, skewness, and kurtosis for asset-return data.
M04
Probability Trees and Conditional Expectations
Use scenario trees, conditional expectations, and total probability logic to solve multi-stage uncertainty problems.
M05
Portfolio Mathematics
Analyze covariance, correlation, portfolio variance, and shortfall risk when combining risky assets.
M06
Simulation Methods
Distinguish Monte Carlo simulation from bootstrapping and understand lognormal price paths in finance.
M07
Estimation and Inference
Build confidence intervals and connect sample evidence to population conclusions with estimation and inference tools.
M08
Hypothesis Testing
Learn null and alternative hypotheses, error types, critical values, and how test decisions are made under uncertainty.
M09
Parametric and Non-Parametric Tests of Independence
Choose between Pearson, Spearman, and chi-square approaches when testing independence and association.
M10
Simple Linear Regression
Interpret regression output, fit simple linear models, and evaluate explained versus unexplained variation.
M11
Introduction to Big Data Techniques
Get a practical introduction to big data concepts, data science workflows, and modern analytical techniques in finance.