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Capital Asset Pricing Model Part 2: The Empirics

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[i] only 1/3 non-governmental tangible assets are owned by corporate sector. ... Without a valid market proxy, do we really observe the true beta? ... – PowerPoint PPT presentation

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Title: Capital Asset Pricing Model Part 2: The Empirics


1
Capital Asset Pricing ModelPart 2 The Empirics
2
RECAP Preference
  • Ingredients
  • 5 Axioms for Expected Utility Theorem
  • Prefer more to less (Greedy)
  • Risk aversion
  • Assets jointly normally distributed

Expected Return E(Rp)
Increasing Utility
Standard Deviation s(Rp)
3
RECAP Min-Variance opp. set
E(Rp)
- Portfolios along the efficient set/frontier are
referred to as mean-variance efficient
Efficient frontier
Individual risky assets
Min-variance opp. set
s(Rp)
4
RECAP Capital Market Line (a.k.a Linear
efficient set)
E(Rp)
CML
M
E(RM)
  • Ingredients
  • Homogenous Belief
  • Unlimited Lending/borrowing

Rf
s(Rp)
sM
5
RECAP 2-fund separation
Everyones U-maximizing portfolio consists of a
combination of 2 assets only Risk-free asset and
the market portfolio. This is true irrespective
of the difference of their risk-preferences
CML
E(Rp)
B
E(RM)
(M) Market Portfolio
CML Equation E(Rp) Rf (E(RM)- Rf)/sMs(Rp)
A
Rf
sM
s(Rp)
6
RECAP CAPM SML
E(return) Risk-free rate of return Risk
premium specific to asset i Rf (Market
price of risk)x(quantity of risk of asset i)
E(Ri) Rf E(RM)-Rf x COV(Ri,
RM)/Var(RM) E(Ri) Rf E(RM)-Rf x ßi
E(Ri)
SML
E(RM)
slope E(RM) - Rf Eqm. Price of risk
Rf
ßi COV(Ri, RM)/Var(RM)
ßM 1
7
Empirical Studies of CAPM
  • Is CAPM useful?
  • Given many unrealistic assumptions, how good does
    the model fit into the reality?
  • Think about the following questions
  • 1 What exactly are the predictions of the
    CAPM?
  • 2 Are they testable?
  • 3 What is a regression?
  • 4 How to test hypothesis? What is t-test?

8
1 What are the predictions ?
  • a CAPM says more risk, more rewards
  • b HOWEVER, reward-able risk ? asset total
    risk, but systematic risk (beta)
  • c We ONLY need Beta to predict returns
  • d return LINEARLY depends on Beta

9
2 Testable ?
E(Ri) Rf E(RM)-Rf x COV(Ri,
RM)/Var(RM) E(Ri) Rf E(RM)-Rf x ßi
  • Ideally, we need the following inputs
  • a Risk-free borrowing/lending rate Rf
  • b Expected return on the market E(RM)
  • c The exposure to market risk
  • ßi cov(Ri,RM)/var(RM)

10
2 Testable ?
E(Ri) Rf E(RM)-Rf x COV(Ri,
RM)/Var(RM) E(Ri) Rf E(RM)-Rf x ßi
  • In reality, we make compromises
  • a short-term T-bill (not entirely risk-free)
    Rf
  • b Proxy of market-portfolio (not the true
    market) E(RM)
  • c Historical beta
  • ßi cov(Ri,RM)/var(RM)

11
2 Testable ?
  • Problem 1
  • What is the market portfolio? We never truly
    observe the entire market.
  • We use stock market index to proxy market, but
  • i only 1/3 non-governmental tangible assets are
    owned by corporate sector. Among them, only 1/3
    is financed by equity.
  • ii what about intangible assets, like human
    capital?

12
2 Testable ?
  • Problem 2
  • Without a valid market proxy, do we really
    observe the true beta?
  • i suggesting beta is destined to be estimated
    with measurement errors.
  • ii how would such measurement errors bias our
    estimation?

13
2 Testable ?
  • Problem 3
  • Borrowing restriction.
  • Problem 4
  • Expected return measurement.
  • i are historical returns good proxies for
    future expected returns? Ex Ante VS Ex Post

14
3 Regression
E(Ri) Rf E(RM)-Rf x COV(Ri,
RM)/Var(RM) E(Ri) Rf E(RM)-Rf x
ßi E(Ri) Rf E(RM)-Rf x ßi
With our compromises, we test
Ri Rf RM-Rf x ßi
Using the following regression equation
Rit Rft ?0 ?1ßi eit
In words, Excess return of asset i at time t over
risk-free rate is a linear function of beta plus
an error (e). Cross-sectional Regressions to be
performed!!!
15
3 Regression
Rit Rft ?0 ?1ßi eit
  • CAPM predicts
  • a ?0 should NOT be significantly different from
    zero.
  • b ?1 (RMt - Rft)
  • c Over long-period of time ?1 gt 0
  • d ß should be the only factor that explains the
    return
  • e Linearity

16
4 Generally agreed results
Rit Rft ?0 ?1ßi eit
  • a ?0 gt 0
  • b ?1 lt (RMt - Rft)
  • c Over long-period of time, we have ?1 gt 0
  • d ß may not be the ONLY factor that explains
    the return
  • (firm size, p/e ratio, dividend yield,
    seasonality)
  • e Linearity holds, ß2 unsystematic risk
    become insignificant under the presence of ß.

17
4 Generally agreed results
Rit Rft
CAPM Predicts
Actual
?1 (RMt - Rft)
?0 0
ßi
18
Rolls Critique
  • Message We arent really testing CAPM.
  • Argument Quote from Fama French (2004)
  • Market portfolio at the heart of the model is
    theoretically and empirically elusive. It is not
    theoretically clear which assets (e.g., human
    capital) can legitimately be excluded from the
    market portfolio, and data availability
    substantially limits the assets that are
    included. As a result, tests of CAPM are forced
    to use compromised proxies for market portfolio,
    in effect testing whether the proxies are on the
    min-variance frontier.
  • Viewpoint essentially, implications from CAPM
    arent independently testable. We do not have the
    benchmark market to base on. Every implications
    are tested jointly with whether the proxy is
    efficient or not.
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