beta and capm lecture4 2014

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    Beta and CAPM

    Lecture 4, FM 2.2

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    The Historical Tradeoff

    Between Risk and Return

    Excess Returns

    The difference between the average return for an

    investment and the average return for risk-free

    investment (DTS, T-bills,)

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    Risk-Free Rate

    Determining the Risk-Free Rate

    The yield on U.S. Treasury securities or

    government bonds in the country of the

    project/company (DTC in The Netherlands)

    LIBOR (ended up in tears)

    Currently: overnight swap rate

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    Volatility Versus Excess Return of U.S. Small Stocks, Large Stocks

    (S&P 500), Corporate Bonds, and Treasury Bills, 19262008

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    The Historical Tradeoff Between Risk and Return in Large

    Portfolios, 19262005

    Source: CRSP, Morgan Stanley Capital International

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    The Returns of Individual Stocks

    Is there a positive relationship betweenvolatility and average returns also forindividual stocks?

    As shown on the next slide, there is no preciserelationship between volatility and average returnfor individual stocks.

    Larger stocks tend to have lower volatility thansmaller stocks.

    All stocks tend to have higher risk and lower returnsthan large portfolios.

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    Historical Volatility and Return for 500 Individual Stocks,

    by Size, Updated Quarterly, 19262005

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    Common Versus Independent Risk

    Common Risk

    Risk that is perfectly correlated Risk that affects all securities

    Independent Risk

    Risk that is uncorrelated Risk that affects a particular security

    Diversification

    The averaging out of independent risks in alarge portfolio

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    Diversification

    in Stock Portfolios (cont'd)

    Firm-Specific Versus Systematic Risk

    Independent Risks

    Due to firm-specific news

    Also known as:

    Firm-Specific Risk

    Idiosyncratic Risk

    Unique Risk Unsystematic Risk

    Diversifiable Risk

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    Diversification

    in Stock Portfolios (cont'd)

    Firm-Specific Versus Systematic Risk

    Common Risks

    Due to market-wide news

    Also known as:

    Systematic Risk

    Undiversifiable Risk

    Market Risk

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    Diversification

    in Stock Portfolios (cont'd)

    Firm-Specific Versus Systematic Risk

    When many stocks are combined in a large

    portfolio, the firm-specific risks for each stock will

    average out and be diversified.

    The systematic risk, however, will affect all firms

    and will not be diversified.

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    No Arbitrage and the Risk Premium

    The risk premium for diversifiable risk is zero,

    so investors are not compensated for holding

    firm-specific risk.

    The risk premium of a security is determined

    by its systematic risk and does not depend onits diversifiable risk.

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    No Arbitrage

    and the Risk Premium (cont'd)

    A stocks volatility, which is a measure of total risk

    (systematic risk plus diversifiable risk), is not an

    appropriate measure of risk for an individual

    security. (It is for portfolios).

    There is no clear relationship between volatility

    and average returns for individual securities.

    To estimate a securitys expected return, we needto find a measure of a securitys systematic risk.

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    Measuring Systematic Risk

    To measure the systematic risk of a stock, we

    need to determine how much of the variability

    of its return is due to systematicrisk vs

    idiosyncratic risk.

    How to do that?Concept of beta

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    Market Portfolio

    An (idealized) portfolio that contains all shares and

    securities in the market

    The S&P 500 (500 biggest stocks in US) is often used as a

    proxy for the market portfolio in the US. AEX in The Netherlands

    MSCI World Index: for the whole developed world (>1600

    stocks)

    Most of these indices are value-weighted(according to

    stocks market capitalization)

    Some of them areprice-weighted(DJIA)

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    Concept of Beta

    Diversified portfolio: only MARKET RISK

    Contribution of an individual asset to portfolio risk is NO LONGERrelated toits volatility

    it is related to how sensitivean asset is to market movements.

    This sensitivity is called betaof an asset

    Interpretation: On average, if the market moves by 1%, the asset price willmove by beta%. ON AVERAGE!

    Bottom line: In a diversified portfolio context, risk of an asset is measuredby its beta!

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    Definition of Beta

    Sensitivity to Systematic Risk: Beta ()

    The expected percent change in the excess return of a security for a 1%

    change in the excess return of the market portfolio.

    Beta differs from volatility. Volatility measures total risk (systematic plus

    unsystematic risk), while beta is a measure of only systematic risk. Beta of asset iis defined as

    where is the covariance between asset is return and market

    return, and is the variance of the market return.

    ,),(

    2

    market

    i

    imarketCov

    ),( imarketCov2

    market

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    Another way of calculating Beta:

    The beta is calculated as:

    Volatility of that is common with the market

    i

    ( ) ( , ) ( , )

    ( ) ( )

    i

    Mkt i i Mkt i Mkt

    iMkt Mkt

    SD R Corr R R Cov R R

    SD R Var R

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    Trivial examples

    What is beta of a risk-free asset?

    What is beta of the market portfolio?

    What is beta of a portfolio consisting for x% of

    market portfolio and (1-x)% of risk free asset?

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    Linear regression for calculating beta

    Monthly Returns for Cisco Stock and for the S&P 500, 19962009

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    Scatterplot of Monthly Excess Returns for Cisco Versus the

    S&P 500, 19962009

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    Estimating Beta from Historical

    Returns

    Beta corresponds to the slope of the best-fitting

    line in the plot of the securitys excess returns

    versus the market excess return.

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    Using Linear Regression

    Linear Regression:

    iis the intercept term

    i represents the sensitivity of the stock to

    market risk. When the markets return increases by 1%,

    the securitys return increases by i%

    iis the error term and represents the deviation from the

    best-fitting line and is zero on average.

    (Ri r

    f)

    i

    i(R

    Mkt r

    f)

    i

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    Using Linear Regression

    Given data forrf, Ri, and RMkt, statistical

    packages for linear regression can estimatei.

    A regression for Cisco using the monthly returns for

    19962009 indicates the estimated beta is 1.80.

    The estimate of Ciscos alpha from the regression is1.2%.

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    Practical Considerations When

    Forecasting Beta

    1. Time Horizon

    For stocks, common practice is to use at least two

    years of weekly return data or five years of

    monthly return data.

    2. The Market Proxy

    In practice the S&P 500 is used as the US market

    proxy. Other proxies include the MSCI World or

    regional indices (FTSE, AEX, DAX, ).

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    Practical Considerations When

    Forecasting Beta

    3. Beta Variation and Extrapolation

    Betas vary over time, so many practitioners prefer

    to use average industry betas rather than

    individual stock betas.

    In addition, evidence suggests that betas tend to

    regress toward the average beta of 1.0 over time.

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    Estimated Betas for Cisco Systems,

    19992009

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    Practical Considerations When

    Forecasting Beta

    Beta Extrapolation

    Adjusted Betas 2 1Adjusted Beta of Security (1.0)

    3 3

    ii

    Estimation Methodologies Used by Selected Data

    Providers

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    Betas with Respect to the

    S&P 500 for Individual

    Stocks (based on

    monthly data for 2004

    2008)

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    Practical Considerations When

    Forecasting Beta

    4. Outliers

    The beta estimates obtained from linear

    regression can be very sensitive to outliers, which

    are returns of unusually large magnitude.

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    Beta Estimation with and without Outliers for Genentech

    Using Monthly Returns for 20022004

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    Determining the Risk Premium

    Capital Asset Pricing Model (CAPM):

    Given a market portfolio, the expected return of

    an investment is:

    Risk premium for security

    [ ] ( [ ] ) Mkti i f i Mkt f

    i

    E R r r E R r

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    Example

    Assume the risk-free return is 5% and the

    market portfolio has an expected return of

    12% and a volatility of 44%.

    ATP Oil and Gas has a volatility of 68% and a

    correlation with the market of 0.91.

    What is ATPs beta with the market?

    Under the CAPM assumptions, what is its

    expected return?

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    Solution

    i

    ( ) ( , ) (.68)(.91)1.41

    ( ) .44

    i i Mkt

    Mkt

    SD R Corr R R

    SD R

    [ ] ( [ ] ) 5% 1.41(12% 5%) 14.87% Mkti f i Mkt f E R r E R r

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    The Security Market Line

    CAPM says that there is a linear relationship between a stocks beta and its

    expected return:

    This is the equation for the so-called security market line (SML).

    According to the CAPM, if the expected return and beta for individual

    securities are plotted, they should all fall along the SML. They dont!

    Risk premium for security

    [ ] ( [ ] ) Mkti i f i Mkt f

    i

    E R r r E R r

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    The Security Market Line

    The SML shows the

    expected return for each

    security as a function of

    its beta with the market.

    According to the CAPM,

    all stocks and portfolios

    should lie on the SML.

    In reality: low-beta

    stocks perform better

    than CAPM predicts;

    high-beta stocks perform

    worse than CAPM

    predicts.

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    What about reality?

    Do all stocks lie on SML? NO!

    Testing CAPM: plot estimates of betas versus average premium on an asset ( average return

    risk-free return)

    Turns out that: high-beta assetsgenerate lower returnsthan predicted by CAPM and low-beta assetsgenerated higher returns.

    Also: some zero-beta assets (e.g. catastrophe bonds) offer returns higher than risk-free rate

    of return !

    Why? CAPM has many assumptions: does not take into account borrowing, behavioralaspects, no default by the state, etc etc etc

    Beta is not estimated very well for a single company

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    Identifying a Stocks Alpha

    To improve the performance of their portfolios,

    investors will compare the expected (or historical

    average) return of a security with its requiredreturn from the security market line.

    ( [ ] )s f s Mkt fr r E R r

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    Identifying a Stocks Alpha

    The difference between a stocks expected return

    and its required return according to the security

    market line is called the stocks alpha.

    If the market portfolio was efficient, all stockswould be on the security market line and have an

    alpha of zero.

    [ ]s s sE R r

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    Deviations from the Security Market Line

    W l d fi b f f li (i d f i di id l

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    We can also define beta of a portfolio (instead of individual

    asset) and use CAPM to estimate the required return on it.

    The beta of a portfolio is the weighted average beta of the

    securities in the portfolio:

    ,( , ) ( , )( ) ( ) ( )

    i i Mkt iP Mkt i Mkt

    P i i ii iMkt Mkt Mkt

    Cov x R RCov R R Cov R Rx xVar R Var R Var R

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    Example

    Problem

    Suppose the stock of the 3M Company (MMM)has a beta of 0.69 and the beta of Hewlett-

    Packard Co. (HPQ) stock is 1.77.

    Assume the risk-free interest rate is 5% and theexpected return of the market portfolio is 12%.

    What is the expected return of a portfolio of 40%of 3M stock and 60% Hewlett-Packard stock,according to the CAPM?

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    Example (contd)

    Solution

    [ ] ( [ ] ) Mkti f i Portfolio f E R r E R r

    (.40)(0.69) (.60)(1.77) 1.338 P i iix

    [ ] 5% 1.338(12% 5%) 14.37% iE R

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    Summary of the Capital Asset

    Pricing Model

    The expected return on any security is

    proportional to beta and is given by:

    Risk premium for security[ ] ( [ ] )

    Mkt

    i i f i Mkt f

    iE R r r E R r