Factor models based on linear regression
Factor models are applied by portfolio managers to analyze the potential returns on a portfolio of risky assets, to choose the optimal allocation of their funds to different assets and to measure portfolio risk. The theory of linear regression-based factor models applies to most portfolios of risky assets, excluding options portfolios but including alternative investments such as real estate, hedge funds, and volatility, as well as traditional assets such as commodities, stocks, and bonds.