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Questions and Answers
What is the primary purpose of the Capital Asset Pricing Model (CAPM)?
What is the primary purpose of the Capital Asset Pricing Model (CAPM)?
To determine the expected return of an asset based on its systematic risk relative to the market.
How does Arbitrage Pricing Theory (APT) differ from the Capital Asset Pricing Model (CAPM)?
How does Arbitrage Pricing Theory (APT) differ from the Capital Asset Pricing Model (CAPM)?
APT allows for multiple factors affecting asset returns, while CAPM focuses solely on market risk.
What assumptions underlie the capital market in the context of CAPM and APT models?
What assumptions underlie the capital market in the context of CAPM and APT models?
The capital market is assumed to be perfect and complete, with no frictions or imperfections.
What role do investors' risk aversion and homogeneous expectations play in the decision-making process according to the models discussed?
What role do investors' risk aversion and homogeneous expectations play in the decision-making process according to the models discussed?
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In a one-period model, what is meant by maximizing the expected utility of end-of-period wealth?
In a one-period model, what is meant by maximizing the expected utility of end-of-period wealth?
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What determines if a firm should invest in a project according to CAPM?
What determines if a firm should invest in a project according to CAPM?
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What is the relationship between E(R e project) and E(R e CAPM) when a project is funded entirely with equity?
What is the relationship between E(R e project) and E(R e CAPM) when a project is funded entirely with equity?
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Given the provided market conditions, should the firm invest in the project with a return of 2.25%?
Given the provided market conditions, should the firm invest in the project with a return of 2.25%?
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Why is it crucial to transform theoretical CAPM to an ex ante form for empirical testing?
Why is it crucial to transform theoretical CAPM to an ex ante form for empirical testing?
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How does the covariance Cov(R e project, R e M) factor into the decision process for investment?
How does the covariance Cov(R e project, R e M) factor into the decision process for investment?
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What does the equation Rjt = E(Rjt) + βj δmt + ϵjt represent in relation to asset returns?
What does the equation Rjt = E(Rjt) + βj δmt + ϵjt represent in relation to asset returns?
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How does the empirical version of CAPM differ from its theoretical version?
How does the empirical version of CAPM differ from its theoretical version?
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In the context of CAPM, what does the term βj indicate?
In the context of CAPM, what does the term βj indicate?
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What is the significance of the condition αj = 0 in the CAPM framework?
What is the significance of the condition αj = 0 in the CAPM framework?
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What is represented by the term δmt in the CAPM equation?
What is represented by the term δmt in the CAPM equation?
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Explain the relationship captured by the equation Rjt - Rft = (Rmt - Rft)βj + ϵjt.
Explain the relationship captured by the equation Rjt - Rft = (Rmt - Rft)βj + ϵjt.
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What role does the error term ϵjt play in the CAPM equation?
What role does the error term ϵjt play in the CAPM equation?
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What does the term λ represent in the context of the cross-sectional analysis of CAPM?
What does the term λ represent in the context of the cross-sectional analysis of CAPM?
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What are the two main components that affect asset returns in factor models?
What are the two main components that affect asset returns in factor models?
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What does the term $b_{ik}$ represent in the context of the asset return equation?
What does the term $b_{ik}$ represent in the context of the asset return equation?
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In the factor model for portfolios, how is the expected return of a portfolio $R_{ep}$ expressed?
In the factor model for portfolios, how is the expected return of a portfolio $R_{ep}$ expressed?
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What does the term $\epsilon_{ep}$ signify in the portfolio return variance equation?
What does the term $\epsilon_{ep}$ signify in the portfolio return variance equation?
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What is the formula for the variance of a portfolio return $R_{ep}$ with uncorrelated factors?
What is the formula for the variance of a portfolio return $R_{ep}$ with uncorrelated factors?
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What does $ ext{Cov}(\epsilon_i, \epsilon_j) = 0$ imply in the context of factor models?
What does $ ext{Cov}(\epsilon_i, \epsilon_j) = 0$ imply in the context of factor models?
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What does the notation $F_{ek}$ signify in the factor models?
What does the notation $F_{ek}$ signify in the factor models?
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Explain the significance of the noise term $\epsilon_{ei}$ in asset return equations.
Explain the significance of the noise term $\epsilon_{ei}$ in asset return equations.
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How is systematic risk quantified in the factor model for portfolios?
How is systematic risk quantified in the factor model for portfolios?
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What does the assumption of uncorrelated factors imply for factor models?
What does the assumption of uncorrelated factors imply for factor models?
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What is a pure factor portfolio regarding factor m?
What is a pure factor portfolio regarding factor m?
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How is the return of a pure factor portfolio expressed mathematically?
How is the return of a pure factor portfolio expressed mathematically?
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What does the factor risk-premium define in the context of risk-free return?
What does the factor risk-premium define in the context of risk-free return?
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What is a tracking portfolio and how is it related to pure factor portfolios?
What is a tracking portfolio and how is it related to pure factor portfolios?
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How is the expected return of a tracking portfolio calculated?
How is the expected return of a tracking portfolio calculated?
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Under what assumptions does the Asset Pricing Theory (APT) operate?
Under what assumptions does the Asset Pricing Theory (APT) operate?
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What are the key components of the Fama and French three-factor model?
What are the key components of the Fama and French three-factor model?
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In the context of APT, how is the expected return for asset i determined?
In the context of APT, how is the expected return for asset i determined?
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How did Fama and French empirically test their factor model?
How did Fama and French empirically test their factor model?
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What is meant by having no firm-specific risk in a pure factor portfolio?
What is meant by having no firm-specific risk in a pure factor portfolio?
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What role does the risk-free asset play in the tracking portfolio?
What role does the risk-free asset play in the tracking portfolio?
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What does the term SMB represent in the Fama and French model?
What does the term SMB represent in the Fama and French model?
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How does the concept of arbitrage relate to APT?
How does the concept of arbitrage relate to APT?
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What does HML indicate in the context of the Fama and French three-factor model?
What does HML indicate in the context of the Fama and French three-factor model?
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From what period did Fama and French analyze data to develop their three-factor model?
From what period did Fama and French analyze data to develop their three-factor model?
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What debate exists regarding the empirical validity of factor models, particularly CAPM?
What debate exists regarding the empirical validity of factor models, particularly CAPM?
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What are the three main directions in the research of empirical testing of CAPM mentioned?
What are the three main directions in the research of empirical testing of CAPM mentioned?
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What notable databases were used for the analysis conducted by Fama and French?
What notable databases were used for the analysis conducted by Fama and French?
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Study Notes
Principles of Finance Lecture 9&10
- Lecture covers Market Equilibrium, CAPM, and APT.
- Resources include CWS chapter 6 and Fama and French (1992).
Introduction
- Last time: Mean-variance analysis by Markowitz (1952, 1959)
- Today covers Market equilibrium asset pricing models
- Topics include: Determining asset pricing, determining market price of risk, and single asset pricing.
- Two models are discussed:
- Capital asset pricing model (CAPM) introduced by Sharpe (1963, 1964), and Treynor (1961).
- Arbitrage pricing theory (APT) introduced by Ross (1976).
Settings
- One-period model
- Perfect capital market (no frictions or imperfections) and complete.
- N risky assets, with return R = (R1, ..., RN), where R~N(E(R), σ²).
- A risk-free asset with return of Rf.
- All assets are marketable and perfectly divisible.
- Investors are greedy and risk-averse. All investors have homogeneous expectations about asset returns.
- Investment decision involves optimizing a portfolio to maximize the expected utility of end-period wealth.
- Optimal portfolios are described by weights w = (w1, ..., wN) and wf.
Mean-variance efficient PFs in equilibrium with a risk-free asset
- Equilibrium prices in a market are established such that supply equals demand for any asset.
- Total market value of assets (supply) equals total demand for assets.
- Market portfolio = Tangency portfolio.
- The Capital Market Line (CML) represents the relationship between expected return and standard deviation in a market in equilibrium with a risk-free asset.
Capital asset pricing model (CAPM)
-
An equilibrium model where tangency portfolio = Market portfolio.
-
Concerned with pricing all assets and portfolios
-
New risk measure accounts only for market risk.
- Idiosyncratic (asset-specific) risk is independent of market risk.
- Example: Changes in oil prices
- Systematic (market) risk is affected by, for example, changes in interest rates and recessions
-
Only idiosyncratic risk is diversifiable.
-
Investors are only compensated for market risk.
Capital Asset Pricing Model (CAPM)
- New risk measure accounts for only market risk
- Beta (βᵢ)= Cov(Rᵢ, Rₘ)/Var(Rₘ)= σᵢₘ/σ²ₘ
- Security Market Line (SML): E(Rᵢ) = Rf + βᵢ(E(Rₘ) – Rf)
First property of CAPM: Systematic risk and Idiosyncratic risk
- Total risk = systematic risk + idiosyncratic risk (σᵢ = σᵢ, sys + σᵢ, unsys)
- Using the SML to find the systematic risk, σᵢ, sys, for assets/portfolios.
- SML pricing based on systematic risk, σp = σᵢ, sys.
- SML prices all assets/portfolios based on its systematic risk only.
- Systematic risk: σᵢ, sys = βᵢσₘ (Where β is from calculating the SML which was defined before.)
Second property of CAPM: Portfolio betas - measure the systematic risk of portfolios
- Portfolio betas equal a weighted average of the individual security betas, weighted by their portfolio weights. βp = Σ wiβᵢ
CAPM - usage for investment decision for firms
- Determine cost of equity/required rate of return on equity in the absence of debt.
- Required rate of return on equity = required rate of return on project.
- A firm should invest in a project if its expected rate of return is greater than its required rate of return.
Exercise
- Assume a market in equilibrium. The market portfolio equals the tangent portfolio and the risk-free asset rate is 0.2%.
- Assume a project funded by 100% equity with a 2.25% expected return and Cov(Rproject, RM) = 0.003.
- Should the firm invest?
Empirical test of CAPM
- Expectations cannot be measured directly.
- Transforming theoretical CAPM for ex ante application to observed data.
- Assumed rate of return on any asset is a fair gamble: Rjt = E(Rjt) + βj dmt + e jt.
Empirical test of CAPM
- Time series regression tests return variation over time for a given asset.
- Cross-sectional analysis to understand average returns in relation to betas for a given time period.
- For CAPM to hold, x=0.
Frequently used technique
- Estimate beta over a pre-period (five-year).
- Construct portfolios from the pre-ranking of their beta values.
- Estimate beta (Bᵢ) and calculate E(Rᵢ) for a post-period.
- Use one cross-sectional regression for post-period, where E(R₁) - Rf = (γ) + βρ + αρ
- Or use the Fama-MacBeth cross-sectional regression for different time periods.
Empirical findings
- For the CAPM to hold:
- a should not be significantly different from 0.
- Coefficient (1) should equal E(Rₘ) – Rf.
- Over long periods, market portfolio's excess returns more than risk-free rate.
- Linear relationship between excess returns and beta.
- Beta should be only factor that explains return in risky asset.
Factor models
- Asset returns affected by common factors and firm-specific noise.
- Asset return for asset i with K factors: Rᵢ = aᵢ + bᵢ₁ F₁ + ... + bᵢₖ Fₖ + eᵢ.
- Expected asset returns are determined using beta values for common factors in the return of the entire market
Factor model for portfolios
- Variance of a portfolio with N assets calculated using: Var(Rp) = Σk=1Σm=1 bpkp,m Cov(Fk,Fm) + Var(Ep).
- For well-diversified portfolios, the variance is equal to the sum of the variances of each factor.
Tracking portfolios
- Perfect tracking: Portfolio perfectly replicates benchmark portfolio returns in all scenarios.
- Imperfect tracking: Portfolio exhibiting same systematic risk as benchmark portfolio.
Use of Tracking portfolios
- Performance evaluation of various investment portfolios.
- Corporate hedging to reduce exposure to various risks.
- Capital allocation of varied amounts of capital to the various portfolios and assets.
Use of Tracking portfolios: Example - Corporate Hedging
- BMW example with exchange rate risk and growth (BNP) factors as relevant.
- Hedging (tracking) portfolio involves setting up separate portfolios so the overall risk is zero relating to various factors.
Portfolio weights for tracking portfolio
- Calculating portfolio weights involves determining factor weights that produce the target exposure across various factors.
- N assets needed, where N = K + 1 for a general case.
Pure factor portfolios
- Portfolio that only reflects changes in a single factor.
- Return of the pure factor portfolio, Rpm, defined as: Rpm = αpm + Fₘ. Factor Rpm is the risk premium for pure factors.
Asset pricing Theory (APT)
- APT assumes returns are determined by a factor model to account for multiple common factors and the absence of firm-specific risk.
- Asset i's expected return is determined by the tracking portfolio: E(Rᵢ) = bᵢ₁ λ₁ + ... + bᵢₖ λₖ + Rf, where Aᵢ is the factor m's risk premium
Comments about APT
- No assumptions about how asset returns are empirically distributed.
- Equilibrium returns allow for many different factors.
- APT does not rely on the market portfolio being efficient, unlike CAPM.
Empirical test of Asset pricing Theory (APT)
- The method for testing APT is similar to approach for CAPM.
- Identify relevant factors that explain financial risk variability.
Fama and French (1992)
- Example using the value-weighted portfolio of NYSE, AMEX, and NASDAQ stocks to find cross-sectional relationships between return and risk (β).
- Firm size (ln(ME)), book-to-market equity (ln(BE/ME)).
- Databases used include daily individual stock returns.
Fama and French (1992) Table Properties of Portfolios
- Data from 1963-1990 on various stock properties, including returns, size (ln(ME)), book-to-market equity (ln(BE/ME)) and firm characteristics.
Fama and French (1992) Table Two-Pass
- Data from 1963-1990 representing various averages from two separate portfolios' sorted groups of company sizes and beta values.
- Low, third, average of fifth and sixth, eighth, and high decile subgroups included for each size and beta characteristic.
Fama and French (1992) Table III
- Data from 1963–1990 averages slopes (t-statistics) for returns on different characteristic factors (β, Size, Book-to-Market Equity, etc.).
- Uses cross-sectional regressions.
Fama and French's three factor model
- Introduces three-factor model:
- E(Rᵢ) - Rf = bᵢ[E(Rₘ) – Rf] + sᵢE(SMB) + hᵢE(HML)
- SMB = size premium (difference in returns between small and big firms)
- HML = value premium (difference in returns between high and low book-to-market value ratio firms).
Comments regarding empirical testing of Factor models
- Debate around empirical validity of factor models continue.
- Issues include potential errors due to inconsistencies in execution of empirical testing.
- Lack of intuitive explanation behind factors.
- Possibility that market risk premiums and beta values change over time.
References
- Provides citations for sources and further learning materials.
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Explore key concepts related to the Capital Asset Pricing Model (CAPM) and Arbitrage Pricing Theory (APT) in this quiz. Test your understanding of investment decision-making, risk aversion, and the assumptions behind these financial models. Perfect for finance students looking to solidify their grasp of essential theories in asset management.