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INVESTMENTS | BODIE, KANE, MARCUS
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin
CHAPTER 5
Introduction to Risk, Return, and
the Historical Record
INVESTMENTS | BODIE, KANE, MARCUS
5-2
Interest Rate Determinants
• Supply
– Households
• Demand
– Businesses
• Government’s Net Supply and/or
Demand
– Federal Reserve Actions
INVESTMENTS | BODIE, KANE, MARCUS
5-3
Real and Nominal Rates of Interest
• Nominal interest
rate: Growth rate of
your money
• Real interest rate:
Growth rate of your
purchasing power (how many Big Macs
can I buy with my
money?)
Let R = nominal rate,
r = real rate and
i = inflation rate. Then:
iRr
i
Rr
1
11
i
iRr
1
Solve:
INVESTMENTS | BODIE, KANE, MARCUS
5-4
Equilibrium Real Rate of Interest
• Determined by:
–Supply
–Demand
–Government actions
–Expected rate of inflation
INVESTMENTS | BODIE, KANE, MARCUS
5-6
Equilibrium Nominal Rate of Interest
• As the inflation rate increases, investors will
demand higher nominal rates of return
• If E(i) denotes current expectations of
inflation, then we get the Fisher Equation:
• Nominal rate = real rate + expected inflation
( )R r E i
INVESTMENTS | BODIE, KANE, MARCUS
5-7
Taxes and the Real Rate of Interest
• Tax liabilities are based on nominal income
– Given a tax rate (t) and nominal interest
rate (R), the real after-tax rate of return is:
titritiritR 111
adjusted-inflation
after tax
• As intuition suggests, the after-tax, real rate
of return falls as the inflation rate rises.
INVESTMENTS | BODIE, KANE, MARCUS
5-8
Rates of Return for Different Holding Periods
Zero Coupon Bond
Par = $100
T = maturity
P = price
rf(T) = total risk free return
TrP
f
1
100 1
100
PTrf
INVESTMENTS | BODIE, KANE, MARCUS
5-10
Equation 5.7 EAR
• Time matters → use EAR to annualize
• Effective Annual Rate definition:
percentage increase in funds invested
over a 1-year horizon
Tf EARTr 11
Tf TrEAR
1
11
INVESTMENTS | BODIE, KANE, MARCUS
5-11
Equation 5.8 APR
• Annual Percentage Rate (APR): annualizing using simple interest
TEARTAPR 11
T
EARAPR
T11
INVESTMENTS | BODIE, KANE, MARCUS
5-12
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
0 5 10 15 20 25 30
Inve
stm
en
t En
d V
alu
e
(years)
End Value with APR=5.0%
End Value with EAR=5.0%
INVESTMENTS | BODIE, KANE, MARCUS
5-14
Continuous Compounding
• Frequency of compounding matters
• At the limit to (compounding time)→0:
ccreEAR 1
INVESTMENTS | BODIE, KANE, MARCUS
5-15
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
0 5 10 15 20 25 30
Inve
stm
en
t En
d V
alu
e
(years)
End Value with APR=5.0%
End Value with EAR=5.0%
End Value with Rcc=5.0%
INVESTMENTS | BODIE, KANE, MARCUS
S
xTNxNT /* Let r=rate and
x=compounding time →
Nxrxrxr *1*1*1 Value End
timesN gcompoundin
NxrNexr *1ln
0x0x lim*1lim
How to derive Rcc
Substitute
N=T/x
x
xrT
e
*1ln
0xlim
xdx
d
xrTdx
d
e
*1ln
0xlim
rT
rxr
T
ee
1
*1
1
0xlim
Looks like 0/0.
Use de l’Hôpital
Q.E.D.
Make x very
small. Then
use A=eln(A)
Checks: r=0 →End Value=1
T=0 →End Value=1
INVESTMENTS | BODIE, KANE, MARCUS
5-17
Table 5.2 Statistics for T-Bill Rates, Inflation Rates and Real Rates, 1926-2009
INVESTMENTS | BODIE, KANE, MARCUS
5-18
Bills and Inflation, 1926-2009
• Moderate inflation can offset most of the
nominal gains on low-risk investments.
• One dollar invested in T-bills from1926–2009
grew to $20.52, but with a real value of only
$1.69.
• Negative correlation between real rate and
inflation rate means the nominal rate
responds less than 1:1 to changes in
expected inflation.
INVESTMENTS | BODIE, KANE, MARCUS
5-20
Risk and Risk Premiums
P
DPPHPR
0
101
HPR = Holding Period Return
P0 = Beginning price
P1 = Ending price
D1 = Dividend during period one
Rates of Return: Single Period
INVESTMENTS | BODIE, KANE, MARCUS
5-21
Ending Price = 110
Beginning Price = 100
Dividend = 4
HPR = (110 - 100 + 4 )/ (100) = 14%
Rates of Return: Single Period Example
INVESTMENTS | BODIE, KANE, MARCUS
5-22
Expected (or mean) returns
p(s) = probability of a state
r(s) = return if a state occurs
s = state
Expected Return and Standard Deviation
( ) ( ) ( )s
E r p s r s
INVESTMENTS | BODIE, KANE, MARCUS
5-23
State Prob. of State r in State
Excellent 0.25 0.3100
Good 0.45 0.1400
Poor 0.25 -0.0675
Crash 0.05 -0.5200
E(r) = (0.25)(0.31) + (0.45)(0.14) + (0.25)(-0.0675)
+ (0.05)(-0.52)
= 0.0976
= 9.76% (think of a probability-weighted avg) NOTE: use decimals instead of percentages to be safe
Scenario Returns: Example
INVESTMENTS | BODIE, KANE, MARCUS
5-24
Variance (VAR):
Variance and Standard Deviation
22 ( ) ( ) ( )
s
p s r s E r
2STD
Standard Deviation (STD):
INVESTMENTS | BODIE, KANE, MARCUS
5-25
Scenario VAR and STD
• Example VAR calculation:
σ2 = 0.25(0.31 - 0.0976)2 +
0.45(0.14 - 0.0976)2 +
0.25(-0.0675 - 0.0976)2 +
0.05(-0.52 - 0.0976)2 =
= 0.038
• Example STD calculation:
1949.0038.0
INVESTMENTS | BODIE, KANE, MARCUS
5-26
Time Series Analysis of Past Rates of Return
n
s
n
s
srn
srsprE11
1)()(
The Arithmetic Average of historical rate
of return as an estimator of the expected
rate of return
INVESTMENTS | BODIE, KANE, MARCUS
5-27
Geometric Average Return
1/1 1 TVggTV nn
TV = Terminal Value of the Investment
g = geometric average rate of return
)1)...(1)(1( 21 nn rrrTV
Solve for a rate g that, if compounded n
times, gives you the same TV
INVESTMENTS | BODIE, KANE, MARCUS
5-28
Geometric Variance and Standard Deviation Formulas
Estimated Variance = expected value of
squared deviations (from the mean)
2
1
2 1ˆ
n
s
rsrn
22 ( ) ( ) ( )
s
p s r s E r
Recall the definition of variance
INVESTMENTS | BODIE, KANE, MARCUS
5-29
Geometric Variance and Standard Deviation Formulas
• Using the estimated ravg instead of the real E(r)
introduces a bias:
– we already used the n observations to estimate ravg
– we really have only (n-1) independent observations
– correct by multiplying by n/(n-1)
• When eliminating the bias, Variance and
Standard Deviation become*:
2
11
1ˆ
n
j
rsrn
* More at http://en.wikipedia.org/wiki/Unbiased_estimation_of_standard_deviation
INVESTMENTS | BODIE, KANE, MARCUS
5-30
The Reward-to-Volatility (Sharpe) Ratio
• Sharpe Ratio for Portfolios:
Returns Excess of SD
PremiumRisk
INVESTMENTS | BODIE, KANE, MARCUS
5-31
The Normal Distribution
• Investment management math is easier
when returns are normal
– Standard deviation is a good measure of risk
when returns are symmetric
– If security returns are symmetric, portfolio
returns will be, too
– Assuming Normality, future scenarios can be
estimated using just mean and standard
deviation
INVESTMENTS | BODIE, KANE, MARCUS
5-33
Normality and Risk Measures
• What if excess returns are not normally
distributed?
– Standard deviation is no longer a complete
measure of risk
– Sharpe ratio is not a complete measure of
portfolio performance
– Need to consider skew and kurtosis
INVESTMENTS | BODIE, KANE, MARCUS
5-34
Skew and Kurtosis
3
3
RRaverageskew
3
ˆ 4
4
RRaveragekurtosis
onsdistributi symmetricfor zero is this
ondistributi Normal afor 3 equals this
INVESTMENTS | BODIE, KANE, MARCUS
5-36
Figure 5.5B Normal and Fat-Tailed Distributions (mean = 0.1, SD =0.2)
INVESTMENTS | BODIE, KANE, MARCUS
5-37
Value at Risk (VaR)
• A measure of loss most frequently
associated with extreme negative returns
• VaR is the quantile of a distribution below
which lies q% of the possible values of
that distribution
– The 5% VaR, commonly estimated in
practice, is the return at the 5th percentile
when returns are sorted from high to low. Also referred to as 95%-ile (depends on perspective)
INVESTMENTS | BODIE, KANE, MARCUS
5-38
0
0.5
1
1.5
2
2.5
-1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0
Normal Distribution and VaR
Percentile
VaR
INVESTMENTS | BODIE, KANE, MARCUS
5-39
Expected Shortfall (ES)
• a.k.a. Conditional Tail Expectation (CTE)
• More conservative measure of downside
risk than VaR:
– VaR takes the highest return from the worst
cases
– Real life distributions are asymmetric and
have fat tails
– ES takes an average return of the worst cases
INVESTMENTS | BODIE, KANE, MARCUS
5-40
0
0.5
1
1.5
2
2.5
-1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0
Normal Distribution, VaR, and Expected Shortfall
Expected
Shortfall
The area is the
percentile
VaR
INVESTMENTS | BODIE, KANE, MARCUS
5-41
Lower Partial Standard Deviation (LPSD) and the Sortino Ratio
• Issues with real life returns:
– Need to look at negative returns separately to
account for asymmetry and fat tails
– Need to consider excess returns: deviations
of returns from the risk-free rate.
• LPSD: similar to usual standard deviation,
but uses only negative deviations from rf
• Sortino Ratio replaces Sharpe Ratio
INVESTMENTS | BODIE, KANE, MARCUS
A game with a coin
Let’s play a game: flip a (non-fair) coin, and
receive $1 if heads
• Assume Pr[Heads]= p (for example p=50%)
Q. What is the game’s expected outcome?
Q. What is the Variance?
Q. What is the St.Dev?
5-42
INVESTMENTS | BODIE, KANE, MARCUS
A game with two coins
Let’s play a game: flip 2 fair coins, and
receive $1 for each head
Q. What is the portfolio expected return?
Q. What is the portfolio Variance?
Q. What is the portfolio St.Dev?
5-43
INVESTMENTS | BODIE, KANE, MARCUS
A lot more coins
Let’s play a game: flip 30 fair coins, and
receive $1 for each head.
Q. What is the portfolio expected return?
Q. What is the portfolio Variance?
Q. What is the portfolio St.Dev?
5-44
INVESTMENTS | BODIE, KANE, MARCUS
A Portfolio of 2 stocks
• Portfolio = 0.5 * A + 0.5 * B
• A: rA = 0.08 StDevA = 0.1
• B: rB = 0.10 StDevB = 0.1
Q. What is the portfolio expected return?
Q. What is the portfolio Variance?
Q. What is the portfolio Standard Deviation?
5-45
INVESTMENTS | BODIE, KANE, MARCUS
A Portfolio of 3 stocks
• Portfolio = wA * A + wB * B + wC * C
Q. What is the portfolio expected return?
Q. What is the portfolio Variance?
Q. What is the portfolio Standard Deviation?
Q. What is if you have N stocks?
5-46
INVESTMENTS | BODIE, KANE, MARCUS
5-48
Historic Returns on Risky Portfolios
• Returns appear approximately normally distributed
• Returns are lower over the most recent half of the period (1986-2009)
• SD for small stocks became smaller; SD for long-term bonds got bigger
• Better diversified portfolios have higher Sharpe Ratios
• Negative skew
INVESTMENTS | BODIE, KANE, MARCUS
5-49
Figure 5.7 Nominal and Real Equity Returns Around the World, 1900-2000
INVESTMENTS | BODIE, KANE, MARCUS
5-50
Figure 5.8 Standard Deviations of Real Equity and Bond Returns Around the World, 1900-2000
INVESTMENTS | BODIE, KANE, MARCUS
5-51
Figure 5.9 Probability of Investment Outcomes After 25 Years with a Lognormal Distribution
INVESTMENTS | BODIE, KANE, MARCUS
5-52
Terminal Value with Continuous Compounding
• When the continuously compounded rate of
return on an asset is normally distributed, the
effective rate of return will be lognormally
distributed. Remember:
22 2/2/11 TTgT
gTeeEAR
2
2
2/1 so
2/1Avg Arithm.Avg Geom.
gm
EE
• The Terminal Value will then be: