Using Multifactor Models Flashcards

1
Q

Macroeconomic factor model

A

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

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2
Q

Fundamental factor model

A

Attributes of Stocks or companies
Example Bv/MV, Market Cap, EPS

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3
Q

Company Fundamental Factor

A

Part of fundamental factor models - Internal company performance
Earnings growth, Financial leverage

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4
Q

Company Share Related Factor

A

Part of fundamental factor models - Valuation measure - Factors related to share price
EPS, B/MV

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5
Q

What is categorized as an Macroeconomic factor

A

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.

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6
Q

If all factors are equal to their expected value (Macroeconomic Factor Models)

A

All factors are equal to zero (Actual - Expected)

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7
Q

Application of Multifactor Models

A

Return Attribution
Risk Attribution
Portfolio Construction
Strategic portfolio decisions

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8
Q

Return Attribution

A

Relative to a benchmark
Fundamental models are favored
Attribute active return Rp - Rb

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9
Q

Investment Mandate

A

How we should perform relative to a benchmark

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10
Q

Actual Investment Style

A

How we actually invest

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11
Q

Active Risk

A

Standard deviation of the actual returns
Standard deviation (Return of portfolio - Return of benchmark)
Active risk is also known as tracking error

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12
Q

Risk attribution of absolute returns

A

Sharpe Ratio

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13
Q

Risk attribution of relative returns

A

Information Ratio (IR)
IR = (Rp - Rn) / Sd Ra

IR = (Rp - Rb) / Tracking error

Tracking error = Sd of (Rp - Rb)

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14
Q

Portfolio construction: Passive management

A

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.

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15
Q

Portfolio construction: Active management

A

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.

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16
Q

Portfolio construction: Rule based Active management

A

Overweight or underweighted specific factors

These strategies routinely tilt toward such factors as size, value, quality, or momentum when constructing portfolios. As such, alternative index approaches aim to capture some systematic exposure traditionally attributed to manager skill, or “alpha,” in a transparent, mechanical, rules-based manner at low cost. Alternative index strategies rely heavily on factor models to introduce intentional factor and style biases versus capitalization-weighted indexes

17
Q

The 3 assumptions of Arbitrage Pricing Theory (APT)

A
  1. A factor model describes assets returns.
  2. With many assets available - investors can form well diversified portfolios that can eliminate asset specific risk.
  3. No arbitrage can exist among well diversified portfolios (All are priced correctly)

Additional information ..
Expected returns are a linear function of the risk of the asset with respect to a set of risk factors.

Explains the returns in equlibrium.

APT does not indicate the identity or even the number of risk factors.

18
Q

SMB

A

Small Minus Big: Average return on 3 small cap portfolio minus 3 average return big cap portfolios

Small cap factor

19
Q

HML

A

High Minus Low: Average return on 2 high Bv/Mv Portfolio minus Average return on 2 low BV/MV portfolios

Value factor

20
Q

WML

A

Winners Minus Losers: Past 12 month winners (top 30%) minus bottom 12 months losers (bottom 30%)

Momentum factor

21
Q

Surprise in a macroeconomic model is defined as

A

Actual - Forecasted

22
Q

Information Ratio (IR)

A

The higher the information Ratio, the better

Formula: (Rp - Rb) / Sdv (Rp-Rb)

Mean Active return / Tracking error

Active return / Active Risk

23
Q

Arbitrage opportunity in regards to Factor model questions

A

We want to earn a Risk Free Rate of return.
We want a zero factor exposure
Sell anything that is too high / overprices
Whatever we short - we will have a factor exposure of whatever we short (we have the Beta of the security we short), which means we have to long/invest assets that gives us the same factor (beta) exposure thus have a net factor of zero.

24
Q

When is the sensitivity determined in a Fundamental and Macro Factor model?

A

Fundamental factor model: Sensitivity (beta) is determined first
Macro factor model: Sensitivity (beta) is determined last

25
Q

What is the intercept of a Factor model

A

Expected return

26
Q

Which type of factor model is most directly applicable to an analysis of the style orientation (Growth vs Value)

A

Fundamental Factor Models
Company specific factor, therefore we want fundamental factor models

27
Q

Suppose an active equity manager has earned an active return of 110 basis points, of which 80 basis points is the result of security selection ability. Explain the likely source of the remaining 30 basis points of active return.

A

Active return = Active factor risk + Security selection

110 = x + 80

The remaining 30 BSP comes from active factor risk

28
Q

What is the information ratio of an index fund that effectively meets its investment objective?

A

Zero

because IR = (Rp - Rb) / Sdv (Rp - Rb)

If it meet its investment objective, hence performed equally to its bench mark, then there is no difference between portfolio and benchmark

29
Q

Active risk

A

Standard deviation of (Rp - Rb)

30
Q

Active factor risk

A

Return of portfolio (Rp)

31
Q

Asset Specific Risk / Security Selection

A

Return on Benchmark

32
Q

Formula for Active-Squared Risk

A

Active Factor Risk + Active Specific Risk