investment-education

Learn simple linear regression and the OLS method. Understand the population model, slope and intercept interpretation, R-squared, and key assumptions with finance examples.

Learn how to test regression coefficients using t-tests, F-tests, p-values, and confidence intervals, with worked finance examples and the key distinction between statistical and economic significance.

Learn how to choose and interpret regression functional forms including log-level, level-log, log-log, quadratic, and interaction term specifications in econometric analysis.

Multiple regression analysis estimates the effect of each independent variable on Y while holding all others constant. Learn OLS estimation with multiple regressors, R-squared vs adjusted R-squared, the Gauss-Markov assumptions, and ceteris paribus interpretation with finance examples.

Learn how tax-aware investing minimizes tax drag through asset location, tax-loss harvesting, after-tax return measurement, and tax-lot selection strategies.

Learn how CPPI rebalancing strategy, constant-mix, and buy-and-hold disciplines produce different portfolio payoff profiles. Covers the Perold-Sharpe framework, CPPI formula and gap risk, and the five factors that determine optimal corridor width.

Learn what GIPS compliance requires, how composites are constructed, and what verification covers under the Global Investment Performance Standards.

The Brinson attribution model decomposes portfolio active return into allocation, selection, and interaction effects. Learn the BF and BHB formulas with a worked example.

Learn how to choose a benchmark using the 7 properties of a valid benchmark, benchmark types, and quality tests from the CFA framework.

Learn how central bank digital currencies (CBDCs) work, how they compare to stablecoins and cryptocurrency, and what they mean for banking and monetary policy. Covers payment system evolution, global CBDC pilots, and design trade-offs.