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Chapter 5
Risk and Return: Past and Prologue
Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin
5.1 Rates of Return
5-2
Measuring Ex-Post (Past) Returns
One period investment: regardless of the length of the period.
Holding period return (HPR):
HPR = where
PS = Sale price (or P1)
PB = Buy price ($ you put up) (or P0)
CF = Cash flow during holding period
• Q:
• Q:
[PS - PB + CF] / PB
Why use % returns at all?
What are we assuming about the cash flows in the HPR calculation?
5-3
Annualizing HPRs
Q: Why would you want to annualize returns?
1. Annualizing HPRs for holding periods of greater than one year:– Without compounding (Simple or APR):
HPRann =
– With compounding: EAR
– HPRann =
where n = number of years held
HPR/n
[(1+HPR)1/n]-1
5-4
Measuring Ex-Post (Past) Returns
•An example: Suppose you buy one share of a stock today for $45 and you hold it for two years and sell it for $52. You also received $8 in dividends at the end of the two years.
•(PB = , PS = , CF = ):
•HPR =
•HPRann =
•The annualized HPR assuming annual compounding is (n = ):
•HPRann =
$45 $52 $8
(52 - 45 + 8) / 45 = 33.33%
0.3333/2 = 16.66%
2(1+0.3333)1/2 - 1 = 15.47%
Annualized w/out compounding
5-5
Measuring Ex-Post (Past) Returns
Annualizing HPRs for holding periods of less than one year:
– Without compounding (Simple): HPRann =
– With compounding: HPRann =
where n = number of compounding periods per year
HPR x n
[(1+HPR)n]-1
5-6
Measuring Ex-Post (Past) Returns•An example when the HP is < 1 year: •Suppose you have a 5% HPR on a 3 month investment. What is the annual rate of return with and without compounding?
•Without:
•With:
•Q: Why is the compound return greater than the simple return?
n = 12/3 = 4 so HPRann = HPR*n = 0.05*4 = 20%
HPRann = (1.054) - 1 = 21.55%
5-7
Arithmetic Average
Finding the average HPR for a time series of returns:• i. Without compounding (AAR or Arithmetic Average
Return):
• n = number of time periods
n
1T
Tavg n
HPRHPR
5-8
Arithmetic Average
AAR =
An example: You have the following rates of return on a stock: 2000 -21.56% 2001 44.63% 2002 23.35% 2003 20.98% 2004 3.11% 2005 34.46% 2006 17.62%
n
1T
Tavg n
HPRHPR
7
.1762).3446.0311.2098.2335.4463(-.2156HPRavg
17.51%
17.51%
5-9
Geometric Average
•With compounding (geometric average or GAR: Geometric Average Return):
GAR =
An example: You have the following rates of return on a stock: 2000 -21.56% 2001 44.63% 2002 23.35% 2003 20.98% 2004 3.11% 2005 34.46% 2006 17.62%
1 )HPR(1HPR
/1n
1TTavg
n
11.1762)1.34461.03111.20981.23351.4463(0.7844HPR 1/7avg 15.61%
15.61%
5-10
Measuring Ex-Post (Past) Returns
•Finding the average HPR for a portfolio of assets for a given time period:
•where VI = amount invested in asset I,
•J = Total # of securities•and TV = total amount invested;
•thus VI/TV = percentage of total investment invested in asset I
J
1IIavg HPRHPR
TV
VI
5-11
Measuring Ex-Post (Past) Returns•For example: Suppose you have $1000 invested in a stock portfolio in September. You have $200 invested in Stock A, $300 in Stock B and $500 in Stock C. The HPR for the month of September for Stock A was 2%, for Stock B the HPR was 4% and for Stock C the HPR was - 5%.
•The average HPR for the month of September for this portfolio is:
J
1IIavg HPRHPR
TV
VI
)(500/1000)(-.05 )(300/1000)(.04 )(200/1000)(.02HPRavg -0.9%
5-12
Measuring Ex-Post (Past) Returns• Measuring returns when there are investment
changes (buying or selling) or other cash flows within the period.
• An example: Today you buy one share of stock costing ___. The stock pays a __ dividend one year from now.
– Also one year from now you purchase a second share of stock for ____.
– Two years from now you collect a ___ per share dividend and sell both shares of stock for ___ a share. Q: What was your average (annual) return?A: It depends. There are different ways to measure
this.
$50 $2
$53
$2$54
5-13
Dollar-Weighted Return
i. Dollar-weighted return procedure (DWR):Find the internal rate of return for the cash flows (i.e. find the discount rate that makes the NPV of the net cash flows equal zero.)
5-14
Tips on Calculating Dollar Weighted Returns
This measure of return considers both changes in investment and security performance
Initial Investment is an _______
Ending value is considered as an ______
Additional investment is an _______
Security sales are an ______
outflow
inflow
outflow
inflow
5-15
Measuring Ex-Post (Past) Returnsi. Dollar-weighted return procedure (DWR):Find the internal rate of return for the cash flows (i.e. find the discount rate that makes the NPV of the net cash flows equal zero.)
•NPV =
•Solve for IRR:
•IRR =
Total Cash Flows Each Year Year 0 1 2 -$50 $ 2 $ 4 -$53 $108 Net -$50 -$51 $112
$0 = -$50/(1+IRR)0 - $51/(1+IRR)1 + $112/(1+IRR)2
7.117% average annual dollar weighted return
The DWR gives you an average return based on the stock’s performance and
the dollar amount invested (number ofshares bought and sold) each period.
5-16
Measuring Ex-Post (Past) Returns
Q: You are paying somebody to advise you which assets to buy, but you are deciding when to buy and sell shares. If you want to evaluate the quality of the investment advice you are getting, should you use dollar weighted returns to evaluate the quality of the investment advice?
Total Cash Flows Each Year Year 0 1 2 -$50 $ 2 $ 4 -$53 $108 Net -$50 -$51 $112
5-17
Time-Weighted Returns
ii. Time-weighted returns (TWR):
TWRs assume you buy ___ share of the stock at the beginning of each interim period and sell ___ share at the end of each interim period. TWRs are thus ___________ of the amount invested in a given period.
To calculate TWRs:
Calculate the return for each time period, typically a year.
Then calculate either an arithmetic (AAR) or a geometric average (GAR) of the returns.
one
one
independent
5-18
Time-Weighted Returns
Same example as before, initially buy one share at $50, in one year collect a $2 dividend, and you buy another share at $53. In two years you sell the stock for $54, after collecting another $2 dividend per share.
+$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
+$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
TWR Cash Flows
TWRs assume you buy one share of the stock at the beginning of each period and sell it at the end of each period after collecting any cash flow.
5-19
Measuring Ex-Post (Past) Returns
Same example as before, initially buy one share at $50, in one year collect a $2 dividend, and you buy another share at $53. In two years you sell the stock for $54, after collecting another $2 dividend per share.
Year 0-1 Year 1-2
0 1 1 2
-$50 $ 2 -$53 $ 2
+$53 +$54
Year 0-1 Year 1-2
0 1 1 2
-$50 $ 2 -$53 $ 2
+$53 $54
$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
TWR Cash Flows
Year 0-1Year 1-2
0 1 1 2
-$50 $ 2 -$53 $ 2
+$53 +$54 +$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
+$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
TWR Cash Flows
5-20
Measuring Ex-Post (Past) Returns
HPR for year 1:
HPR for year 2:
a) Calculating the arithmetic average TW return:
Arithmetic Average Return (AAR): Calculate the
arithmetic average
[$54 - $53 +$2] / $53 = 5.66%
[$53 + $2 - $50] / $50 = 10%
AAR = [0.10 + 0.0566] / 2 = 7.83%
+$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
+$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
TWR Cash Flows
5-21
Measuring Ex-Post (Past) Returns
b) Calculating the geometric average TW return (GAR):
GAR =
11.0566)(1.10HPR 1/2avg
HPR1 = 10%
HPR2 = 5.66%
7.81%
7.81%
1 )HPR(1HPR
/1n
1TTavg
n
+$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
+$54+$53
$ 2-$53$ 2-$50
2110
Year 1-2Year 0-1
TWR Cash Flows
5-22
Measuring Ex-Post (Past) ReturnsQ: When should you use the GAR and when should you use the
AAR?
A1: When you are evaluating PAST RESULTS (ex-post):
A2: When you are trying to estimate an expected return (ex-ante return):
Use the AAR (average without compounding) if you ARE NOT reinvesting any cash flows received before the end of the period.
Use the GAR (average with compounding) if you ARE reinvesting any cash flows received before the end of the period.
Use the AAR
5-23
5.2 Risk and Risk Premiums
5-24
Subjective expected returns
E(r) = Expected Returnp(s) = probability of a stater(s) = return if a state occurs1 to s states
E(r) = Expected Returnp(s) = probability of a stater(s) = return if a state occurs1 to s states
Measuring Mean: Scenario or Subjective Returnsa. Subjective or Scenario
E(r) = p(s) r(s)s
5-25
= [= [22]]1/21/2
E(r) = Expected Returnp(s) = probability of a staters = return in state “s”
Measuring Variance or Dispersion of Returns
a. Subjective or Scenario
Variance
s
2s
2 E(r)][rp(s)σ
5-26
Numerical Example: Subjective or Scenario Distributions
State Prob. of State Return
1 .2 - .05
2 .5 .05
3 .3 .15
E(r) = (.2)(-0.05) + (.5)(0.05) + (.3)(0.15) = 6%
2 = [(.2)(-0.05-0.06)2 + (.5)(0.05- 0.06)2 + (.3)(0.15-0.06)2]2 = 0.0049%2
= [ 0.0049]1/2 = .07 or 7%
s
2s
2 E(r)][rp(s)σ
5-27
Expost Expected Return &
Annualizing the statistics:
n
ii rr
n1
2)(1
1 : VarianceExpost 2
periods # periodannual
periods # rr periodannual
2σσ :Deviation Standard Expost
n
1T
Tn
HPRr HPR averager
nsobservatio #n
5-28
Average 0.011624 0.219762458
Variance 0.003725
Stdev 0.061031 n 60
n-1 59
Annualized
Average 0.139486
Variance 0.044697
Stdev 0.211418
(r - ravg)2 =
Annualizing the statistics:Annualizing the statistics:
n
ii rr
n1
2)(1
1 : VarianceExpost 2
n
1T
T
n
HPRr HPR averager
12 monthlyannual
12rr monthlyannual
2σσ :Deviation Standard Expost
nsobservatio #n
31 0.027334 0.000246811 3/1/200532 -0.088065 0.009937839 4/1/200533 0.037904 0.000690654 5/2/200534 -0.089915 0.010310121 6/1/200535 0.0179 3.93874E-05 7/1/200536 -0.017814 0.000866572 8/1/200537 -0.043956 0.003089121 9/1/200538 0.010042 2.50266E-06 10/3/200539 0.022495 0.00011818 11/1/200540 -0.029474 0.001689005 12/1/200541 0.05303 0.001714497 1/3/200642 0.09589 0.007100858 2/1/200643 -0.003618 0.000232311 3/1/200644 0.002526 8.27674E-05 4/3/200645 0.083361 0.005146208 5/1/200646 -0.016818 0.000808939 6/1/200647 -0.010537 0.000491104 7/3/200648 -0.001361 0.000168618 8/1/200649 0.04081 0.000851813 9/1/200650 0.01764 3.61885E-05 10/2/200651 0.047939 0.001318787 11/1/200652 0.044354 0.001071242 12/1/200653 0.02559 0.000195054 1/3/200754 -0.026861 0.001481106 2/1/200755 0.005228 4.09065E-05 3/1/200756 0.015723 1.68055E-05 4/2/200757 0.01298 1.83836E-06 5/1/200758 -0.038079 0.002470321 6/1/200759 -0.034545 0.002131602 7/2/200760 0.017857 0.000038854 8/1/2007
Monthly Source Yahoo financeHPRs
Obs DIS (r - ravg)2
1 -0.035417 0.002212808 9/3/20022 0.093199 0.006654508 10/1/20023 0.15756 0.021297275 11/1/20024 -0.200637 0.045054632 12/2/20025 0.068249 0.00320644 1/2/20036 -0.026188 0.001429702 2/3/20037 -0.00183 0.000181016 3/3/20038 0.087924 0.005821766 4/1/20039 0.050211 0.001489002 5/1/200310 0.004734 4.74648E-05 6/2/200311 0.099052 0.00764371 7/1/200312 -0.068896 0.006483384 8/1/200313 -0.016478 0.000789704 9/2/200314 0.109174 0.009516098 10/1/200315 0.019343 5.95893E-05 11/3/200316 0.019409 6.06076E-05 12/1/200317 0.02829 0.000277753 1/2/200418 0.095035 0.00695741 2/2/200419 -0.061342 0.005324028 3/1/200420 -0.085344 0.00940277 4/1/200421 0.018851 5.22376E-05 5/3/200422 0.079128 0.004556811 6/1/200423 -0.103832 0.013330149 7/1/200424 -0.028414 0.001603051 8/2/200425 0.004562 4.98687E-05 9/1/200426 0.105671 0.008844901 10/1/200427 0.061998 0.002537528 11/1/200428 0.041453 0.000889761 12/1/200429 0.028856 0.000296963 1/3/200530 -0.024453 0.001301505 2/1/2005
Monthly Source Yahoo financeHPRs
Obs DIS (r - ravg)2
1 -0.035417 0.002212808 9/3/20022 0.093199 0.006654508 10/1/20023 0.15756 0.021297275 11/1/20024 -0.200637 0.045054632 12/2/20025 0.068249 0.00320644 1/2/20036 -0.026188 0.001429702 2/3/20037 -0.00183 0.000181016 3/3/20038 0.087924 0.005821766 4/1/20039 0.050211 0.001489002 5/1/2003
10 0.004734 4.74648E-05 6/2/200311 0.099052 0.00764371 7/1/200312 -0.068896 0.006483384 8/1/200313 -0.016478 0.000789704 9/2/200314 0.109174 0.009516098 10/1/200315 0.019343 5.95893E-05 11/3/200316 0.019409 6.06076E-05 12/1/200317 0.02829 0.000277753 1/2/200418 0.095035 0.00695741 2/2/200419 -0.061342 0.005324028 3/1/200420 -0.085344 0.00940277 4/1/200421 0.018851 5.22376E-05 5/3/200422 0.079128 0.004556811 6/1/200423 -0.103832 0.013330149 7/1/200424 -0.028414 0.001603051 8/2/200425 0.004562 4.98687E-05 9/1/200426 0.105671 0.008844901 10/1/200427 0.061998 0.002537528 11/1/200428 0.041453 0.000889761 12/1/200429 0.028856 0.000296963 1/3/200530 -0.024453 0.001301505 2/1/2005
5-29
Using Ex-Post Returns to estimate Expected HPR
Estimating Expected HPR (E[r]) from ex-post data.
Use the arithmetic average of past returns as a forecast of expected future returns as we did and,
Perhaps apply some (usually ad-hoc) adjustment to past returns
Problems?
• Which historical time period?
• Have to adjust for current economic situation
• Unstable averages
• Stable risk
5-30
Characteristics of Probability Distributions
1. Mean: __________________________________ _
2. Median: _________________
3. Variance or standard deviation:
4. Skewness:_______________________________
5. Leptokurtosis: ______________________________
If a distribution is approximately normal, the distribution is fully described by _____________________
Arithmetic average & usually most likelyArithmetic average & usually most likely
Dispersion of returns about the meanDispersion of returns about the mean
Long tailed distribution, either sideLong tailed distribution, either side
Too many observations in the tailsToo many observations in the tails
Characteristics 1 and 3Characteristics 1 and 3
Middle observationMiddle observation
5-31
Normal Distribution
E[r] = 10%
= 20%Average = Median
Risk is the Risk is the possibility of getting possibility of getting returns different returns different from expected.from expected.
measures deviations measures deviations above the mean as well as above the mean as well as below the mean. below the mean.
Returns > E[r] may not be Returns > E[r] may not be considered as risk, but with considered as risk, but with symmetric distribution, it is symmetric distribution, it is ok to use ok to use to measure risk. to measure risk.
I.E., ranking securities by I.E., ranking securities by will give same results as will give same results as ranking by asymmetric ranking by asymmetric measures such as lower measures such as lower partial standard deviation.partial standard deviation.
5-32
rrNegative Positive
Skewed Distribution: Large Negative Returns Possible (Left Skewed)
Median
rr = averageImplication?
is an incomplete risk measure
5-33
Negative Positive
Skewed Distribution: Large Positive Returns Possible (Right Skewed)
Median
rr = average
rr
5-34
LeptokurtosisImplication?Implication?
is an incomplete is an incomplete risk measurerisk measure
5-35
Value at Risk (VaR)
Value at Risk attempts to answer the following question:
• How many dollars can I expect to lose on my portfolio in a given time period at a given level of probability?
• The typical probability used is 5%.
• We need to know what HPR corresponds to a 5% probability.
• If returns are normally distributed then we can use a standard normal table or Excel to determine how many standard deviations below the mean represents a 5% probability:
– From Excel: =Norminv (0.05,0,1) = -1.64485 standard deviations
5-36
Value at Risk (VaR)From the standard deviation we can find the corresponding
level of the portfolio return:
VaR = E[r] + -1.64485
For Example:
A $500,000 stock portfolio has an annual expected return of
12% and a standard deviation of 35%. What is the portfolio
VaR at a 5% probability level?
VaR = 0.12 + (-1.64485 * 0.35)
VaR = -45.57% (rounded slightly)
VaR$ = $500,000 x -.4557 = -$227,850
What does this number mean?
5-37
Value at Risk (VaR)
VaR versus standard deviation:• For normally distributed returns VaR is equivalent to
standard deviation (although VaR is typically reported in dollars rather than in % returns)
• VaR adds value as a risk measure when return distributions are not normally distributed. – Actual 5% probability level will differ from 1.68445
standard deviations from the mean due to kurtosis and skewness.
5-38
Risk Premium & Risk Aversion• The risk free rate is the rate of return that can be
earned with certainty.• The risk premium is the difference between the
expected return of a risky asset and the risk-free rate.
Excess Return or Risk Premiumasset =
Risk aversion is an investor’s reluctance to accept risk.
How is the aversion to accept risk overcome?
By offering investors a higher risk premium.
E[rasset] – rf
5-39
5.3 The Historical Record
5-40
Frequency distributions of annual HPRs, 1926-2008
5-41
Rates of return on stocks, bonds and bills, 1926-2008
5-42
Annual Holding Period Returns Statistics 1926-2008
From Table 5.3
• Geometric mean:
Best measure of compound historical return
• Arithmetic Mean:
Expected return
• Deviations from normality?
Geom. Arith. Excess
Series Mean% Mean% Return% Kurt. Skew.
World Stk 9.20 11.00 7.25 1.03 -0.16
US Lg. Stk 9.34 11.43 7.68 -0.10 -0.26
Sm. Stk 11.43 17.26 13.51 1.60 0.81
World Bnd 5.56 5.92 2.17 1.10 0.77
LT Bond 5.31 5.60 1.85 0.80 0.51
5-43
Deviations from Normality: Another Measure Portfolio
World Stock US Small Stock US Large Stock
Arithmetic Average .1100 .1726 .1143
Geometric Average .0920 .1143 .0934
Difference .0180 .0483 .0209
½ Historical Variance .0186 .0694 .0214
If returns are normally distributed then the following relationship among geometric and arithmetic averages holds:
Arithmetic Average – Geometric Average = ½ 2
•The comparisons above indicate that US Small Stocks may have deviations from normality and therefore VaR may be an important risk measure for this class.
5-44
Actual vs. Theoretical VaR 1926-2008
ActualVaR%
VaR% if NormalSeries
World Stk -21.89 -21.07US Lg. Stk -29.79 -22.92US Sm. Stk -46.25 -44.93World Bnd -6.54 -8.69US LT Bond -7.61 -7.25
These comparisons indicate that the U.S. Large Stock portfolio, the US small stock portfolio and the World Bond portfolio may exhibit differences from normality.
5-45
Annual Holding Period Excess Returns 1926-2008 From Table 5.3 of Text
Arith. RequiredSeries Avg% Return%
World Stk 7.25
US Lg Stk 7.68
US Sm Stk 13.51
World Bonds 2.17
US LT Bonds 1.85
If the risk free rate is currently 3%, then what return should an investor require for each asset class?Problems with this approach?
10.25
10.68
16.51
5.17
4.85
• Historical data
• Assumes all securities in the category are equally risky 5-46
5.4 Inflation and Real Rates of Return
5-47
Inflation, Taxes and ReturnsThe average inflation rate from 1966 to 2005 was _____.
This relatively small inflation rate reduces the terminal value of $1 invested in T-bills in 1966 from a nominal value of ______ in 2005 to a real value of _____.
Taxes are paid on _______ investment income. This reduces _____ investment income even further.
You earn a ____ nominal, pre-tax rate of return and you are in a ____ tax bracket and face a _____ inflation rate. What is your real after tax rate of return?
rreal [6% x (1 - 0.15)] – 4.29% 0.81%; taxed on nominal
4.29%
$10.08 $1.63
nominalreal
6%15% 4.29%
5-48
Real vs. Nominal RatesFisher effect: Approximation
real rate nominal rate - inflation rate
rreal rnom - i
Example rnom = 9%, i = 6%
rreal 3%
Fisher effect: Exact
rreal = or
rreal =
rreal =
The exact real rate is less than the approximate real rate.
[(1 + rnom) / (1 + i)] – 1
(rnom - i) / (1 + i)
(9% - 6%) / (1.06) = 2.83%
rreal = real interest rate
rnom = nominal interest rate
i = expected inflation rate
5-49
Exact Fisher Effect Explained
1) I want to be able to buy more Quantity or Qnew = Qold x (1 + rreal) BUT
2) The Price, P, is also rising Pnew = Pold x (1 + i) i = inflation
Total $ spent = Pnew x Qnew
Pnewx Qnew = Pold x Qold x [(1 + rreal) x (1 + i)]
or (1 + rnom)= (1 + rreal) x (1 + i)
5-50
Nominal and Real interest rates and Inflation
5-51
Historical Real Returns & Sharpe Ratios
Real Returns% Sharpe RatioSeriesWorld Stk 6.00 0.37US Lg. Stk 6.13 0.37Sm. Stk 8.17 0.36
World Bnd 2.46 0.24LT Bond 2.22 0.24
• Real returns have been much higher for stocks than for bonds• Sharpe ratios measure the excess return to standard deviation.
• The higher the Sharpe ratio the better.• Stocks have had much higher Sharpe ratios than bonds.
5-52
5.5 Asset Allocation Across Risky and Risk
Free Portfolios
5-53
Allocating Capital Between Risky & Risk-Free Assets
Possible to split investment funds between safe and risky assets
Risk free asset rf : proxy; ________________________ Risky asset or portfolio rp: _______________________
Example. Your total wealth is $10,000. You put $2,500 in risk free T-Bills and $7,500 in a stock portfolio invested as follows:– Stock A you put ______– Stock B you put ______– Stock C you put ______
$2,500
$3,000
$2,000
T-bills or money market fund
risky portfolio
$7,500
5-54
Weights in rp
– WA =
– WB =
– WC =
The complete portfolio includes the riskless
investment and rp.
$2,500 / $7,500 = 33.33%
$3,000 / $7,500 = 40.00%
$2,000 / $7,500 = 26.67%
100.00%
Your total wealth is $10,000. You put $2,500 in risk free T-Bills and $7,500 in a stock portfolio invested as follows
Wrf = ; Wrp =
In the complete portfolio
WA = 0.75 x 33.33% = 25%; WB = 0.75 x 40.00% = 30%
WC = 0.75 x 26.67% = 20%;
25% 75%
Stock A $2,500Stock A $2,500
Stock B $3,000Stock B $3,000
Stock C $2,000Stock C $2,000
Wrf = 25%
Allocating Capital Between Risky & Risk-Free Assets
5-55
• Issues in setting weights– Examine ___________________
– Demonstrate how different degrees of risk aversion will affect __________ between risky and risk free assets
risk & return tradeoff
allocations
Allocating Capital Between Risky & Risk-Free Assets
5-56
rf = 5%rf = 5% rf = 0%rf = 0%
E(rp) = 14%E(rp) = 14% rp = 22%rp = 22%
y = % in rpy = % in rp (1-y) = % in rf(1-y) = % in rf
Example
5-57
E(rC) = E(rC) =
Expected Returns for Combinations
E(rC) =
For example, let y = ____
E(rC) =
E(rC) = .1175 or 11.75%C = yrp + (1-y)rf
C = (0.75 x 0.22) + (0.25 x 0) = 0.165 or 16.5%
c =
rf = 5%rf = 5% rf = 0%rf = 0%
E(rp) = 14%E(rp) = 14% rp = 22%rp = 22%
y = % in rpy = % in rp (1-y) = % in rf(1-y) = % in rf
rf = 5%rf = 5% rf = 0%rf = 0%
E(rp) = 14%E(rp) = 14% rp = 22%rp = 22%
y = % in rpy = % in rp (1-y) = % in rf(1-y) = % in rf
yE(rp) + (1 - y)rf
yrp + (1-y)rf
Return for complete or combined portfolio
0.75
(.75 x .14) + (.25 x .05)
5-58
Complete portfolio
Varying y results in E[rC] and C that are ______ ___________ of E[rp] and rf and rp and rf
respectively.
E(rc) = yE(rp) + (1 - y)rf
c = yrp + (1-y)rf
linearcombinations
This is NOT generally the case for the of combinations of two or more risky assets.
5-59
E(r)
E(rp) = 14%
rf = 5%
22%0
P
F
Possible Combinations
E(rp) = 11.75%
16.5%
y =.75
y = 1
y = 0
5-60
E(r)
E(rp) = 14%
rf = 5%
22%0
P
F
Possible Combinations
E(rp) = 11.75%
16.5%
y =.75
y = 1
y = 0
5-61
Combinations Without Leverage
Since σrf = 0
σc= y σp
If y = .75, thenσc=
If y = 1σc=
If y = 0σc=
rf = 5%rf = 5% rf = 0%rf = 0%
E(rp) = 14%E(rp) = 14% rp = 22%rp = 22%
y = % in rpy = % in rp (1-y) = % in rf(1-y) = % in rf
rf = 5%rf = 5% rf = 0%rf = 0%
E(rp) = 14%E(rp) = 14% rp = 22%rp = 22%
y = % in rpy = % in rp (1-y) = % in rf(1-y) = % in rf
75(.22) = 16.5%
1(.22) = 22%
0(.22) = 0%
E(rc) = yE(rp) + (1 - y)rf
y = .75E(rc) =
y = 1E(rc) =
y = 0E(rc) =
(.75)(.14) + (.25)(.05) = 11.75%
(1)(.14) + (0)(.05) = 14.00%
(0)(.14) + (1)(.05) = 5.00%
5-62
Using Leverage with Capital Allocation Line
Borrow at the Risk-Free Rate and invest in stock
Using 50% Leverage
E(rc) =
c =
rf = 5%rf = 5% rf = 0%rf = 0%
E(rp) = 14%E(rp) = 14% rp = 22%rp = 22%
y = % in rpy = % in rp (1-y) = % in rf(1-y) = % in rf
rf = 5%rf = 5% rf = 0%rf = 0%
E(rp) = 14%E(rp) = 14% rp = 22%rp = 22%
y = % in rpy = % in rp (1-y) = % in rf(1-y) = % in rf
(1.5) (.14) + (-.5) (.05) = 0.185 = 18.5%
(1.5) (.22) = 0.33 or 33%
E(r)E(r)
E(rE(rpp) = 14%) = 14%
rrff = 5%= 5%
22%22%00
PP
FF
Possible CombinationsPossible Combinations
E(rE(rpp) = 11.75%) = 11.75%
16.5%16.5%
E(rE(rpp) = 11.75%) = 11.75%
16.5%16.5%
y =.75y =.75
y = 1y = 1
E(rE(rCC) =18.5%) =18.5%
33%33%
y = 1.5
y = 1.5
y = 0y = 0
5-63
Risk Aversion and Allocation Greater levels of risk aversion lead investors to
choose larger proportions of the risk free rate
Lower levels of risk aversion lead investors to choose larger proportions of the portfolio of risky assets
Willingness to accept high levels of risk for high levels of returns would result in leveraged combinations
E(r)E(r)
E(rE(rpp) = 14%) = 14%
rrff = 5%= 5%
22%22%00
PP
FF
Possible CombinationsPossible Combinations
E(rE(rpp) = 11.75%) = 11.75%
16.5%16.5%
E(rE(rpp) = 11.75%) = 11.75%
16.5%16.5%
y =.75y =.75
y = 1y = 1
E(rE(rCC) =18.5%) =18.5%
33%33%
E(rE(rCC) =18.5%) =18.5%
33%33%
y = 0y = 0
y = 1.5
5-64
E(r)E(r)E(r)E(r)
E(rE(rpp) = 14%) = 14%
rrff = 5% = 5%
= 22%= 22%00
PP
FFFF
rprprprp
) Slope = 9/22) Slope = 9/22
E(rE(rpp) - ) - rrff = 9% = 9%
CALCAL(Capital(CapitalAllocationAllocationLine)Line)
P or combinations of P or combinations of P & Rf offer a return P & Rf offer a return per unit of risk of per unit of risk of 9/22.9/22.
5-65
Quantifying Risk Aversion
25.0 pfp ArrE E(rp) = Expected return on portfolio p
rf = the risk free rate
0.5 = Scale factor
A x p2 = Proportional risk premium
The larger A is, the larger will be the _________________________________________ investor’s added return required to bear risk
5-66
Quantifying Risk AversionRearranging the equation and solving for A
Many studies have concluded that investors’ average risk aversion is between _______
σ
rrEA
p
fp
2.50
)(
2 and 4
5-67
Using A
What is the maximum A that an investor could have and still choose to invest in the risky portfolio P?
Maximum A =
E(r)E(r)
E(rE(rpp) = 14%) = 14%
rrff = 5%= 5%
= 22%= 22%00
PP
FF
rprp
) Slope = 9/22) Slope = 9/22
E(rE(rpp) ) -- rrff = 9%= 9%
CALCAL(Capital(CapitalAllocationAllocationLine)Line)
σ
rrEA
p
fp
2.50
)(
0.220.5
0.050.14A
2
3.719
3.719
5-68
“A” and Indifference Curves
The A term can used to create indifference curves. Indifference curves describe different combinations of
return and risk that provide equal utility (U) or
satisfaction. U = E[r] - 1/2Ap
2
Indifference curves are curvilinear because they exhibit
diminishing marginal utility of wealth.• The greater the A the steeper the indifference curve and all else equal, such investors will invest less in risky assets.
• The smaller the A the flatter the indifference curve and all else equal, such investors will invest more in risky assets.
5-69
Indifference Curves• Investors want
the most return for the least risk.
• Hence indifference curves higher and to the left are preferred.
II22
II11
II33
U = E[r] - 1/2Ap2
123 I I I
5-70
E(r)
rf = 5%
00
PP
F
CAL(CapitalAllocationLine)
A=3A=3A=3A=3
QQSS
5-71
E(r)
rf = 5%
00
PP
F
CALCAL(Capital(CapitalAllocationAllocationLine)Line)
A=2A=2
A=3A=3
SST
5-72
5.6 Passive Strategies and the Capital Market Line
5-73
A Passive Strategy
• Investing in a broad stock index and a risk free investment is an example of a passive strategy.
– The investor makes no attempt to actively find undervalued strategies nor actively switch their asset allocations.
– The CAL that employs the market (or an index that mimics overall market performance) is called the Capital Market Line or CML.
5-74
Excess Returns and Sharpe Ratios implied by the CML
Excess Return or Risk Premium
Time Period Average
Sharpe Ratio
1926-2008 7.86 20.88 0.371926-1955 11.67 25.40 0.461956-1984 5.01 17.58 0.281985-2008 5.95 18.23 0.33
The average risk premium implied by the CML for large common stocks over the entire time period is 7.86%.
• How much confidence do we have that this historical data can be used to predict the risk premium now?
5-75
Active versus Passive Strategies• Active strategies entail more trading costs than
passive strategies.• Passive investor “free-rides” in a competitive
investment environment.• Passive involves investment in two passive
portfolios– Short-term T-bills– Fund of common stocks that mimics a broad
market index– Vary combinations according to investor’s risk
aversion.
5-76
Selected Problems
5-77
Problem 1
• V(12/31/2004) = V (1/1/1998) x (1 + GAR)7
• = $100,000 x (1.05)7 =
$140,710.04
→→5-78
Problem 2
a. The holding period returns for the three scenarios are:Boom:
Normal:
Recession:
E(HPR) =
2(HPR)
(50 – 40 + 2)/40 = 0.30 = 30.00%(43 – 40 + 1)/40 = 0.10 = 10.00%
(34 – 40 + 0.50)/40 = –0.1375 = –13.75%[(1/3) x 30%] + [(1/3) x 10%] + [(1/3) x (–13.75%)] = 8.75%
]8.75%) – (–13.75% x [(1/3) ]8.75%) – (10% x [(1/3) ]8.75%) – (30% x [(1/3)σ 222(HPR)
2 0.031979
17.88%σ(HPR) →5-79
Problem 2 Cont.
b. E(r) =
=
(0.5 x 8.75%) + (0.5 x 4%) = 6.375%
0.5 x 17.88% = 8.94%
→
Risky E[rp] = 8.75%Risky p = 17.88%
5-80
Problems 3 & 4
3. For each portfolio: Utility = E(r) – (0.5 4 2 )
We choose the portfolio with the highest utility value, which is Investment 3.
Investment E(r) U
1 0.12 0.30 -0.0600
2 0.15 0.50 -0.3500
3 0.21 0.16 0.1588
4 0.24 0.21 0.1518
→→5-81
Problems 3 & 4 Cont.
4. When an investor is risk neutral, A = _ so that the portfolio with the highest utility is the portfolio with the _______________________.
So choose ____________.
highest expected return0
Investment 4
→→5-82
Problem 5
(95 – 90 + 4)/90 = 10.00%2009-2010
(90 – 110 + 4)/110 = –14.55%2008-2009
(110 – 100 + 4)/100 = 14.00%2007-2008
Return = [(capital gains + dividend) / price]
a. TWRYear
3
10.00%14.55%14.00%AAR
3.15%
110]0.1455)x1.[1.14x(1GAR 1/3 2.33%
Dividends on four shares,plus sale of four shares at $95 per share
396
Dividends on five shares,plus sale of one share at $90
110
Purchase of two shares at $110,plus dividend income on three shares held
-208
Purchase of three shares at $100 per share
-300
3
2
1
0
ExplanationCash flow
Time
IRR)(1
$396
IRR)(1
$110
IRR)(1
$208
IRR)(1
$300$0
3210
-0.1661%
b. DWR
a. T
WR
→→ 5-83