Using Multifactor Models Flashcards
Macroeconomic factor model
In a macroeconomic factor model, the factors are surprises in macroeconomic variables, such as inflation risk and GDP growth, that significantly explain returns.
ai represent the expected return.
b1F1 + b2F2 are returns resulting from factor surprises.
While the error term represents the asset specific risk
Fundamental factor model
Attributes of Stocks or companies
Example Bv/MV, Market Cap, EPS
Company Fundamental Factor
Part of fundamental factor models - Internal company performance
Earnings growth, Financial leverage
Company Share Related Factor
Part of fundamental factor models - Valuation measure - Factors related to share price
EPS, B/MV
What is categorized as an Macroeconomic factor
Sector/Industry
Sector or industry membership factors fall under this heading. Various models include such factors as CAPM beta, other similar measures of systematic risk, and yield curve level sensitivity—all of which can be placed in this category.
If all factors are equal to their expected value (Macroeconomic Factor Models)
All factors are equal to zero (Actual - Expected)
Application of Multifactor Models
Return Attribution
Risk Attribution
Portfolio Construction
Strategic portfolio decisions
Return Attribution
Relative to a benchmark
Fundamental models are favored
Attribute active return Rp - Rb
Investment Mandate
How we should perform relative to a benchmark
Actual Investment Style
How we actually invest
Active Risk
Standard deviation of the actual returns
Standard deviation (Return of portfolio - Return of benchmark)
Active risk is also known as tracking error
Risk attribution of absolute returns
Sharpe Ratio
Risk attribution of relative returns
Information Ratio (IR)
IR = (Rp - Rn) / Sd Ra
IR = (Rp - Rb) / Tracking error
Tracking error = Sd of (Rp - Rb)
Portfolio construction: Passive management
Replicate benchmark factors exposure on a much smaller set of securities
In managing a fund that seeks to track an index with many component securities, portfolio managers may need to select a sample of securities from the index. Analysts can use multifactor models to replicate an index fund’s factor exposures, mirroring those of the index tracked.
Portfolio construction: Active management
Use multifactor model to predict alpha or construct portfolio with a desired risk
Many quantitative investment managers rely on multifactor models in predicting alpha (excess risk-adjusted returns) or relative return (the return on one asset or asset class relative to that of another) as part of a variety of active investment strategies. In constructing portfolios, analysts use multifactor models to establish desired risk profiles.