7. capm beta apt

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    CAPM, BETA AND APT

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    CAPITAL MARKET THEORY: AN

    OVERVIEW

    Capital market theory extends portfolio theory and

    seeks to develops a model for pricing all risky assets

    based on their relevant risks

    Asset Pricing Models

    Capital asset pricing model (CAPM) allows for the calculation

    of the required rate of return for any risky asset based on

    the securitys beta

    Arbitrage Pricing Theory (APT) is a multi-factor model for

    determining the required rate of return

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    ASSUMPTIONS OF CAPITAL MARKET

    THEORY

    All investors are Markowitz efficient investors (rational)who invest on the efficient frontier.

    Investors can borrow or lend any amount of money atthe risk-free rate of return (RFR).

    Investors have homogeneous expectations

    All investors are risk averse and efficiently diversified.Only the systematic risk is of concern in determiningestimated return.

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    ASSUMPTIONS OF CAPITAL MARKET

    THEORY All investments are infinitely divisible, which means

    that it is possible to buy or sell fractional shares of any

    asset or portfolio.

    There are no taxes or transaction costs involved in

    buying or selling assets.

    Capital markets are efficient and no single investor

    can influence price (Perfect competition).

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    MAKING ASSUMPTIONS

    Some of these assumptions are clearly unrealistic

    Relaxing many of these assumptions would have only

    minor influence on the model and would not change

    its main implications or conclusions.

    The primary way to judge a theory is on how well itexplains and helps predict behavior, not on its

    assumptions.

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    THE CAPITAL ASSET PRICING MODEL

    An assets covariance with the market portfolio is the

    relevant risk measure (helps in beta calculation)

    This can be used to determine an appropriate requiredrate of return on a risky asset

    CAPM indicates what should be the expected or

    required rates of return on risky assets

    This helps to value an asset by providing an appropriate

    discount rate to use in dividend valuation models

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    DETERMINING THE EXPECTED

    RETURN

    The expected rate of return of a risk asset isdetermined by the RFR plus a risk premium

    for the individual asset

    The risk premium is determined by the

    systematic risk of the asset (beta) and the

    prevailing market risk premium (RM-RFR)

    RFR)-(RRFR)E(R Mi iF!

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    WHAT IS THE MARKET RISK PREMIUM

    [RM - RRF]

    The additional return over the risk-free rate

    needed to compensate investors for assuming an

    average amount of risk.

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    CAPM AND BETA

    )Cov(RFR-R

    RFR)E(R Mi,2M

    Mi

    W

    !

    RFR)-R(Cov

    RFR M2M

    Mi,

    W!

    2

    M

    Mi,CovW

    We then define as beta

    RFR)-(RRFR)E(R Mi iF!

    )( iF

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    CAPM AND REQUIRED RETURN FOR IBMS

    COMMON STOCK

    Let rRF=6%, rM=12%, and the Beta of IBM commonstock is IBM=1.3

    rIBM = rRF + IBM[rM - rRF]

    rIBM = 0.06 + 1.3[0.12 0.06]

    rIBM = 0.06 + 1.3[0.06]

    rIBM = 0.06 + 0.078 =0.138 or 13.8%

    Note the following items:

    The market risk premium is [12% - 6%] = 6%

    IBMs risk premium is 1.3[12% 6%] = 7.8%.

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    THE SECURITY MARKET LINE (SML)

    The CAPM model is linear and when plotted ona graph paper gives a straight line called SML.

    The graphical version of CAPM is SecurityMarket Line.

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    GRAPH OF SML

    )E(Ri

    )Beta(Cov 2Mim/W

    0.1

    mR

    SML

    0

    Negative Beta

    RFR

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    OVER AND UNDER PRICED

    In equilibrium, all assets and all portfolios of assets

    should plot on the SML

    The SML gives the market going rate of return or what you

    should earn as a return for a security

    Any security with an expected return that plots above the

    SML is underpriced

    Any security with an expected return that plots below theSML is overpriced

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    WHAT IF THE SML CHANGES?

    Two possible SML changes can definitely occur. Eachhas important effects.

    (1) Risk-free rates rRF can change. This can be due to theInflation Premium (IP) or the real rate of interest changing.Note that in this case, the RM must also increase by thesame amount so that the market risk premium [rM-rRF] isunchanged.

    (2) The market risk premium [rM-rRF] can change. Thiswould typically be due to changing attitudes toward riskaversion by investors.

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    WHAT IF THE SML CHANGES?

    Following slides allow for two separate SML changes:

    In the first case, we let the risk-free rate rRF increase by 2%

    (from 5% to 7%). The market required return rM mustincrease by the same amount (from 10% to 12%), so thatthe market risk premium [rM-rRF] remains at 5%.

    In the second case, we allow for a 2% increase in the

    market risk premium (from 5% to 7%). The risk-free rateremains the same at 5%, however, rM must increase by 2%(from 10% to 12%) so that the market risk premium cannow be [rM-rRF] = 7%.

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    THE SECURITY MARKET LINE

    Risk-free rate increases from 5% to 7%. The

    new SML is ri = 0.07 + 0.05i

    SML, old

    ri (%)

    0 0.5 1.0 1.5

    12

    10

    7

    5

    Risk, i

    Mkt. risk prem. = 5%

    rRF=7%

    SML, new

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    THE SECURITY MARKET LINE

    The market risk premium increases from 5 to

    7%. The new SML is ri = 0.05 + 0.07i

    SML, old

    ri (%)

    0 0.5 1.0 1.5

    12

    10

    5

    Risk, i

    Mkt. risk prem. = 7%

    rRF=5%

    SML, new

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    HOW TO INTERPRET BETA ()

    Beta measures a stocks degree of systematic ormarket risk. It can also be thought of as the stockscontribution to the risk of a well-diversified portfolio.

    = 1: the stock has average market risk. The stockgenerally tends to go up (down) by the same percentageamount as the market.

    = 1.5: The stock generally tends to go up (down) by 50%

    (1.5x) more than the market.

    = 0.5: The stock generally tends to go up (down) by half asmuch as the market.

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    HOW TO INTERPRET BETAS (),

    CONTINUED = 0: the stock has no correlation with movements in the

    overall stock market. All of this firms risk would actually befirm-specific risk.

    < 0: The stock generally tends move in a directionopposite that of the market (very rare).

    Firms that supply basic consumer goods (Proctor &Gamble) and utilities (phone, cable, gas, or electric)

    tend to have low Betas (lower than 1.0, often around0.4 to 0.6).

    Firms that are in economically cyclical industrieswould have higher Betas (greater then 1.0).

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    EXPECTED RETURN AND BETA OF A

    PORTFOLIO OF STOCKS

    Both portfolio expected returns and portfolio Betas are

    always a weighted average of the stocks that comprise

    the portfolio.

    You invest $10,000: $6000 in Apple Computer and

    $4000 in Proctor & Gamble (PG).

    Let rRF=5% and rM=10%. Let APPLE=1.3 and PG=0.6

    The investment weights are (6000/10000)=0.6 for Apple

    and (4000/10000)=0.4 for PG. The weights must always

    sum up to 1.

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    EXPECTED RETURN AND BETA OF A

    PORTFOLIO OF STOCKS, CONTINUED

    The portfolio Beta is always the weighted

    average of each of the stocks betas.

    P

    = wapple

    apple

    + wpg

    pg

    P = 0.6(1.30) + 0.4(0.6)

    P = 1.02

    Now find the portfolio required return.

    rP = 0.05 + 1.02[0.10 0.05] = 0.101 or 10.1%

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    THE CONCEPT OF BETA

    Beta(b) measures how the return of an individual asset (or evena portfolio) varies with the market.

    b = 1.0 : same risk as the market

    b < 1.0 : less risky than the market

    b > 1.0 : more risky than the market

    Beta is the slope of the regression line (y = a + bx) between astocks return(y) and the market return(x) over time, b fromsimple linear regression.

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    CALCULATING BETA: THE

    CHARACTERISTIC LINE

    The systematic risk input of an individual asset is derived from a

    regression model, referred to as the assets characteristic line

    with the model portfolio:

    IFE ! tM,iiti, RRwhere:Ri,t = the rate of return for asset i during period t

    RM,t = the rate of return for the market portfolio M during t

    miii R-R FE !

    2M

    Mi,CovW

    F !i

    error termrandomthe!I

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    ESTIMATING THE BETA COEFFICIENT

    Generally, these quantities are not known.

    We usually rely on their historical values to provide uswith an estimate of beta.

    If we know the securitys correlation with the market, its

    standard deviation, and the standard deviation of the

    market, we can use the definition of beta:

    M

    jMj

    jW

    WVF

    ,!

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    INTERPRETING THE BETA

    COEFFICIENTThe beta of the market portfolio is always equal to

    1.0:

    1,

    !!

    M

    MMM

    M

    W

    WVF

    1, !MMVSince

    The beta of the risk-free asset is always equal to 0:

    0,

    !!M

    rMr

    r

    ff

    fW

    WV

    F

    0!frWSince

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    PROJECT, UN-GEARED & GEARED

    BETA Beta Geared: The Beta attaching to the ordinary

    shares of a geared firm. These bear a risk higherthan the firms basic activity.

    Beta Un-geared: The geared Beta stripped of theeffect of gearing. Corresponds to the activity Beta inan equivalent un-geared firm.

    An indication of the systematic riskiness attachingto the returns on ordinary shares. It equates to theasset Beta for an un-geared firm, or is adjustedupwards to reflect the extra riskiness of shares in a

    geared firm., i.e. the Geared Beta

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    ARBITRAGE PRICING THEORY (APT)

    CAPM is criticized because of the difficulties in

    selecting a proxy for the market portfolio as a

    benchmark

    An alternative pricing theory with fewer

    assumptions was developed:

    Arbitrage Pricing Theory

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    ASSUMPTIONS OF ARBITRAGE PRICING

    THEORY

    Capital markets are perfectly competitive

    Investors always prefer more wealth to lesswealth with certainty

    The stochastic process generating assetreturns can be presented as a k-factor model

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    ARBITRAGE PRICING THEORY

    Multiple factors expected to have an impact on allassets:

    Inflation

    Growth in GNP Major political upheavals

    Changes in interest rates

    And many more.

    Contrast with CAPM assumption that only beta isrelevant

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    ARBITRAGE PRICING THEORY (APT)

    where:

    = the expected return on an asset with zerosystematic risk where

    ikkiii bbbE PPPP ! ...22110

    0P

    1P = the risk premium related to each of the common factors - for

    example the risk premium related to interest rate risk

    bik = the pricing relationship between the risk premium and asset i - that is how

    responsive asset i is to this common factorK

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    EXAMPLE OF TWO STOCKS

    AND A TWO-FACTOR MODEL

    = changes in the rate of inflation. The risk premium

    related to this factor is 1 percent for every 1 percent

    change in the rate

    1P

    )01.(1

    !P

    = percent growth in real GNP. The average risk premium related to this

    factor is 2 percent for every 1 percent change in the rate

    = the rate of return on a zero-systematic-risk asset (zero beta: boj=0) is 3

    percent

    2P

    )02.( 2 !P

    )03.(3

    !P3P

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    EXAMPLE OF TWO STOCKS

    AND A TWO-FACTOR MODEL

    = the response of asset Xto changes in the rate of

    inflation is 0.501x

    b)50.(

    1!

    xb

    = the response of asset Y to changes in the rate of inflation is 2.00

    1yb

    = the response of asset X to changes in the growth rate of real GNP is

    1.50

    = the response of asset Y to changes in the growth rate of real GNP is

    1.75

    2xb

    2yb

    )50.1( 2 !xb

    )75.1( 2 !yb

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    EXAMPLE OF TWO STOCKS

    AND A TWO-FACTOR MODEL

    = .03 + (.01)bi1 + (.02)bi2

    Ex = .03 + (.01)(0.50) + (.02)(1.50)

    = .065 = 6.5%

    Ey = .03 + (.01)(2.00) + (.02)(1.75)

    = .085 = 8.5%

    22110 iii bbE PPP !

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    EMPIRICAL TESTS OF THE APT

    Studies by Roll and Ross and by Chen support APT by

    explaining different rates of return with some better

    results than CAPM

    Dhrymes and Shanken question the usefulness of APT

    because it was not possible to identify the factors and

    therefore may not be testable