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Risk and Return – Part 3
For 9.220, Term 1, 2002/03
02_Lecture14.ppt
Student Version
Outline
1. Introduction
2. The Markowitz Efficient Frontier
3. The Capital Market Line (CML)
4. The Capital Asset Pricing Model
(CAPM)
5. Summary and Conclusions
Introduction
 We have seen that holding portfolios of
more than one asset gives the potential for
diversification.
 We will now look at what might be an
optimal strategy for portfolio construction –
being well diversified.
 We extend the results from this into a
model of Risk and Return called the Capital
Asset Pricing Model (CAPM) that
theoretically holds for individual securities
and for portfolios.
The Opportunity Set and
The Efficient Set
Expected Return and Standard Deviation for Portfolios of Two Assets Plotted for Different
Portfolio Weights
0%
5%
10%
15%
20%
25%
30%
0% 5% 10% 15% 20% 25%
Portfolio Standard Deviation
Portfolio
Expected
Return
100%
Stock 1
100%
Stock 2
The portfolios in this
area are all dominated.
The Opportunity Set when considering
all risky securities
Consider all the risky assets in the world; we
can still identify the Opportunity Set of risk-
return combinations of various portfolios.
E[R]

Individual Assets
The Efficient Set when considering all
risky securities
The section of the
frontier above the
minimum variance
portfolio is the
efficient set. It is
named the
Markowitz
Efficient Frontier
after researcher
Harry Markowitz
(Nobel Prize in
Economics, 1990)
who first discussed
it in 1959.
E[R]

minimum
variance
portfolio
Individual Assets
Optimal Risky Portfolio with a Risk-
Free Asset
 In addition to risky
assets, consider a
world that also has
risk-free securities
like T-bills.
 We can now consider
portfolios that are
combinations of the
risk-free security,
denoted with the
subscript f and risky
portfolios along the
Efficient Frontier.
E[R]

The riskfree asset:
riskless lending and borrowing
 Consider combinations of
the risk-free asset with a
portfolio, A, on the
Efficient Frontier.
 With a risk-free asset
available, taking a long f
position (positive
portfolio weight in f)
gives us risk-free lending
combined with A.
 Taking a short f position
(negative portfolio
weight in f) gives us risk-
free borrowing combined
with A.
P
E[R]
Rf
Portfolio A
The riskfree asset:
riskless lending and borrowing
 Which combination of
f and portfolios on
the Efficient Frontier
are best?
P
E[R]
Rf
What is the optimal strategy
for every investor?
M: The Market Portfolio
The combination of f and
portfolios on the Efficient
Frontier that are best are…
All investors choose a point
along the line…
In a world with
homogeneous expectations,
M is the same for all
investors.
P
E[R]
Rf
CML stands for
the
Capital Market
Line
M
CML
A new separation theorem
This separation
theorem states that
the market portfolio,
M, is the same for all
investors. They can
separate their level of
risk aversion from their
choice of the risky
component of their
total portfolio.
All investors should
have the same risky
component, M!
P
E[R]
Rf
M
CML
Given Separation, what does an
investor choose?
While all investors will
choose M for the risky
part of their portfoio,
the point on the CML
chosen depends on
their level of risk
aversion.
P
E[R]
Rf
M
CML
The Capital Market Line
(CML) Equation
The CML equation can
be written as follows:
Where
 EPi = efficient portfolio i (a portfolio on the CML composed of
the risk-free asset, f, and M)
 E[ ] is the expectation operator
 R = return
 σ = standard deviation of return
 f denotes the risk-free asset
 M denotes the market portfolio
   







 


M
f
M
EP
f
EP
R
R
E
R
R
E i
i


Note: the CML is our first
formal relationship between
risk and expected return.
Unfortunately it is limited in
its use as it only works for
perfectly efficient portfolios:
composed of f and M.
The Capital Asset Pricing Model
(CAPM)
 If investors hold the market portfolio, M, then the risk of
any asset, j, that is important is not its total risk, but the
risk that it contributes to M.
 We can divide asset j’s risk into two components: the
risk that can be diversified away, and the risk that
remains even after maximum diversification.
 The division is found by examining ρjM, the correlation
between the returns of asset j and the returns of M.
 Asset j’s total risk is defined by σj
 The part of σj that can be diversified away is (1-ρjM)● σj
 The part of σj that remains is ρjM● σj
Non-diversifiable risk and the
relation to expected return.
We can extend the CML to a single asset by substituting in the
asset’s non-diversifiable risk for σEPi:
   
   
 
   
 
f
M
j
f
j
M
j
jM
f
M
M
j
jM
f
j
EP
j
jM
M
f
M
EP
f
EP
R
R
E
β
R
R
E
SML
σ
ρ
R
R
E
σ
σ
ρ
R
R
E
SML
σ
σ
ρ
R
R
E
R
R
E
CML
i
i
i



















 



:
Let
:
for
in
sub
:
j




SML stands for Security
Market Line. It relates
expected return to β and
is the fundamental
relationship specified by
the CAPM.
The Security’s Beta
 The important measure of the risk of a security in a large
portfolio is thus the beta ()of the security.
 Beta measures the non-diversifiable risk of a security –
i.e., the risk related to movements in the market
portfolio.
2
2
, )
(
M
M
i
iM
M
M
i
M
i
iM
i
R
R
Cov















Estimating  with regression
Security
Returns
Return on
market
Know your betas!
 The possible range for β is -∞ to +∞
 The value of βM is…
 The value of βf is…
 For a portfolio, if you know the individual
securities’ β’s, then the portfolio β is…
where the xi values are the security weights.
n
n
n
i
i
i
p x
x
x
x 



 ...
2
2
1
1
1




 

Estimates of  for Selected Stocks
Stock Beta
C-MAC Industries 1.85
Nortel Networks 1.61
Bank of Nova Scotia 0.83
Bombardier 0.71
Investors Group. 1.22
Maple Leaf Foods 0.83
Roger Communications 1.26
Canadian Utilities 0.50
TransCanada Pipeline 0.24
Examples
 What would be your portfolio beta, βp, if you had
weights in the first four stocks of 0.2, 0.15, 0.25, and
0.4 respectively.
 What would be E[Rp]? Calculate it two ways.
 Suppose σM=0.3 and this portfolio had ρpM=0.4, what
is the value of σp?
 Is this the best portfolio for obtaining this expected
return?
 What would be the total risk of a portfolio composed
of f and M that gives you the same β as the above
portfolio?
 How high an expected return could you achieve while
exposing yourself to the same amount of total risk as
the above portfolio composed of the four stocks. What
is the best way to achieve it?
Summary and Conclusions
 The CAPM is a theory that provides a relation between
expected return and an asset’s risk.
 It is based on investors being well-diversified and
choosing non-dominated portfolios that consist of
combinations of f and M.
 While the CAPM is useful for considering the
risk/return tradeoff, and it is still used by many
practitioners, it is but one of many theories relating
return to risk (and other factors) so it should not be
regarded as a universal truth.

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02_lecture14.ppt

  • 1. Risk and Return – Part 3 For 9.220, Term 1, 2002/03 02_Lecture14.ppt Student Version
  • 2. Outline 1. Introduction 2. The Markowitz Efficient Frontier 3. The Capital Market Line (CML) 4. The Capital Asset Pricing Model (CAPM) 5. Summary and Conclusions
  • 3. Introduction  We have seen that holding portfolios of more than one asset gives the potential for diversification.  We will now look at what might be an optimal strategy for portfolio construction – being well diversified.  We extend the results from this into a model of Risk and Return called the Capital Asset Pricing Model (CAPM) that theoretically holds for individual securities and for portfolios.
  • 4. The Opportunity Set and The Efficient Set Expected Return and Standard Deviation for Portfolios of Two Assets Plotted for Different Portfolio Weights 0% 5% 10% 15% 20% 25% 30% 0% 5% 10% 15% 20% 25% Portfolio Standard Deviation Portfolio Expected Return 100% Stock 1 100% Stock 2 The portfolios in this area are all dominated.
  • 5. The Opportunity Set when considering all risky securities Consider all the risky assets in the world; we can still identify the Opportunity Set of risk- return combinations of various portfolios. E[R]  Individual Assets
  • 6. The Efficient Set when considering all risky securities The section of the frontier above the minimum variance portfolio is the efficient set. It is named the Markowitz Efficient Frontier after researcher Harry Markowitz (Nobel Prize in Economics, 1990) who first discussed it in 1959. E[R]  minimum variance portfolio Individual Assets
  • 7. Optimal Risky Portfolio with a Risk- Free Asset  In addition to risky assets, consider a world that also has risk-free securities like T-bills.  We can now consider portfolios that are combinations of the risk-free security, denoted with the subscript f and risky portfolios along the Efficient Frontier. E[R] 
  • 8. The riskfree asset: riskless lending and borrowing  Consider combinations of the risk-free asset with a portfolio, A, on the Efficient Frontier.  With a risk-free asset available, taking a long f position (positive portfolio weight in f) gives us risk-free lending combined with A.  Taking a short f position (negative portfolio weight in f) gives us risk- free borrowing combined with A. P E[R] Rf Portfolio A
  • 9. The riskfree asset: riskless lending and borrowing  Which combination of f and portfolios on the Efficient Frontier are best? P E[R] Rf What is the optimal strategy for every investor?
  • 10. M: The Market Portfolio The combination of f and portfolios on the Efficient Frontier that are best are… All investors choose a point along the line… In a world with homogeneous expectations, M is the same for all investors. P E[R] Rf CML stands for the Capital Market Line M CML
  • 11. A new separation theorem This separation theorem states that the market portfolio, M, is the same for all investors. They can separate their level of risk aversion from their choice of the risky component of their total portfolio. All investors should have the same risky component, M! P E[R] Rf M CML
  • 12. Given Separation, what does an investor choose? While all investors will choose M for the risky part of their portfoio, the point on the CML chosen depends on their level of risk aversion. P E[R] Rf M CML
  • 13. The Capital Market Line (CML) Equation The CML equation can be written as follows: Where  EPi = efficient portfolio i (a portfolio on the CML composed of the risk-free asset, f, and M)  E[ ] is the expectation operator  R = return  σ = standard deviation of return  f denotes the risk-free asset  M denotes the market portfolio                M f M EP f EP R R E R R E i i   Note: the CML is our first formal relationship between risk and expected return. Unfortunately it is limited in its use as it only works for perfectly efficient portfolios: composed of f and M.
  • 14. The Capital Asset Pricing Model (CAPM)  If investors hold the market portfolio, M, then the risk of any asset, j, that is important is not its total risk, but the risk that it contributes to M.  We can divide asset j’s risk into two components: the risk that can be diversified away, and the risk that remains even after maximum diversification.  The division is found by examining ρjM, the correlation between the returns of asset j and the returns of M.  Asset j’s total risk is defined by σj  The part of σj that can be diversified away is (1-ρjM)● σj  The part of σj that remains is ρjM● σj
  • 15. Non-diversifiable risk and the relation to expected return. We can extend the CML to a single asset by substituting in the asset’s non-diversifiable risk for σEPi:                 f M j f j M j jM f M M j jM f j EP j jM M f M EP f EP R R E β R R E SML σ ρ R R E σ σ ρ R R E SML σ σ ρ R R E R R E CML i i i                         : Let : for in sub : j     SML stands for Security Market Line. It relates expected return to β and is the fundamental relationship specified by the CAPM.
  • 16. The Security’s Beta  The important measure of the risk of a security in a large portfolio is thus the beta ()of the security.  Beta measures the non-diversifiable risk of a security – i.e., the risk related to movements in the market portfolio. 2 2 , ) ( M M i iM M M i M i iM i R R Cov               
  • 17. Estimating  with regression Security Returns Return on market
  • 18. Know your betas!  The possible range for β is -∞ to +∞  The value of βM is…  The value of βf is…  For a portfolio, if you know the individual securities’ β’s, then the portfolio β is… where the xi values are the security weights. n n n i i i p x x x x      ... 2 2 1 1 1       
  • 19. Estimates of  for Selected Stocks Stock Beta C-MAC Industries 1.85 Nortel Networks 1.61 Bank of Nova Scotia 0.83 Bombardier 0.71 Investors Group. 1.22 Maple Leaf Foods 0.83 Roger Communications 1.26 Canadian Utilities 0.50 TransCanada Pipeline 0.24
  • 20. Examples  What would be your portfolio beta, βp, if you had weights in the first four stocks of 0.2, 0.15, 0.25, and 0.4 respectively.  What would be E[Rp]? Calculate it two ways.  Suppose σM=0.3 and this portfolio had ρpM=0.4, what is the value of σp?  Is this the best portfolio for obtaining this expected return?  What would be the total risk of a portfolio composed of f and M that gives you the same β as the above portfolio?  How high an expected return could you achieve while exposing yourself to the same amount of total risk as the above portfolio composed of the four stocks. What is the best way to achieve it?
  • 21. Summary and Conclusions  The CAPM is a theory that provides a relation between expected return and an asset’s risk.  It is based on investors being well-diversified and choosing non-dominated portfolios that consist of combinations of f and M.  While the CAPM is useful for considering the risk/return tradeoff, and it is still used by many practitioners, it is but one of many theories relating return to risk (and other factors) so it should not be regarded as a universal truth.