Portfolio Theory & CAPM
Build the quantitative foundations of portfolio construction: expected return, variance, covariance, correlation, diversification, the efficient frontier, Sharpe ratio, systematic risk, beta, CAPM and the Security Market Line.
What you should be able to explain after this lesson
Calculate portfolio expected return from asset weights and expected returns.
Distinguish variance, volatility, covariance and correlation.
Calculate two-asset portfolio variance and explain mathematically why diversification works.
Interpret the efficient frontier, minimum-variance portfolio and tangency portfolio.
Use the Sharpe ratio to compare excess return per unit of total volatility.
Explain systematic versus idiosyncratic risk, beta, CAPM and the Security Market Line.
Portfolio expected return is the weighted average of asset expected returns
Expected return is a probability-weighted or model-based estimate of future return, not a guaranteed outcome.
Portfolio expected return is linear in portfolio weights.
Portfolio weights sum to one for a fully invested unlevered long-only portfolio, though leverage or shorting can change this convention.
Expected return alone is insufficient for portfolio choice because it ignores uncertainty and co-movement.
Suppose 60% of a portfolio is in Asset A with expected return 8% and 40% is in Asset B with expected return 12%. Expected portfolio return is 0.60×8% + 0.40×12% = 9.6%.
E[Rₚ] = Σ wᵢ × E[Rᵢ]wᵢ is the portfolio weight and E[Rᵢ] the expected return of asset i.
60%×8% + 40%×12% = 9.6%.
Fraction of portfolio capital allocated to an asset or exposure.
Model-based expectation of future investment return.