Advanced Financial Management
Lecture 3Risk, Return, and The Opportunity Cost of Capital Professor Yuanlue FuCenter for Accounting Studies of Xiamen University 2007
Sub-topics Covered Over a Century of Capital Market History Measuring Portfolio Risk Calculating Portfolio Risk Beta and Unique Risk Diversification& Value Additivity Markowitz Portfolio Theory Risk and Return Relationship Validity and the Role of the CAPM Some Alternative Theories
(Chapter 7-8)Xiamen University– Advanced Financial Management
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1.The Value of an Investment of$1 in 1900$100,000$10,000Common Stock US Govt Bonds T-Bills
15,578
Dollars
$1,000$100$10$119 00 19 10 19 20 19 30 19 40 19 50 19 60 19 70 19 80 19 90 20 00
147 61
Start of YearXiamen University– Advanced Financial Management
2004
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1.The Value of an Investment of$1 in 1900Real Returns$1,000 719Equities Bonds Bills
$100
Dollars$10
6.81 2.80
$119 40 19 30 19 20 19 00 19 10 19 50 19 60 19 70 19 80 19 90 20 00
Start of YearXiamen University– Advanced Financial Management
2004
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2.Average Market Risk Premia (by country)Risk premium,%11 10 9 8 7 6 5 4 3 2 1 0
4.3
4.7
5.1
5.3
5.8
5.9
5.9
6.3
6.4
6.6
7.6
8.1
8.2
8.6
9.3
10
10.7
Switzerland
Germany
Average
Belgium
Denmark
Ireland
Sweden
South Africa
Australia
Spain
Canada
Country
Netherlands
France
Japan
Italy
USA
UK
Xiamen University– Advanced Financial Management
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2.Average Market Risk Premium---Rates of Return 1900-2003 Stock Market Index Returns80%
Percentage Return
60% 40% 20% 0% -20% 1900 -40% -60%
1920
1940
1960
1980
2000
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Source: Ibbotson AssociatesXiamen University– Advanced Financial Management
3.Measuring RiskHistogram of Annual Stock Market Returns# of Years24 20 16 12 8 4 0
24 19 12 15 13
10 4 1-50 to -40
1-10 to 0 0 to 10 10 to 20 20 to 30 30 to 40 -40 to -30 -30 to -20 -20 to -10
340 to 50
2Return%50 to 60
Xiamen University– Advanced Financial Management
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3.Measuring RiskVariance - Average value of squared deviations from mean. A measure of volatility. Standard Deviation– square root of variance. A measure of volatility.
Xiamen University– Advanced Financial Management
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3.Measuring RiskCoin Toss Game-calculating variance and standard deviation
(1) (2) (3) Percent Rate of Return Deviation from Mean Squared Deviation+ 40+ 30 900+ 10 0 0+ 10 0 0 - 20 - 30 900 Variance= average of squared deviations= 1800/ 4= 450 Standard deviation= square of root variance= 450= 21.2%
Xiamen University– Advanced Financial Management
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3.Measuring RiskDiversification - Strategy designed to reduce risk by spreading the portfolio across many investments. Unique Risk - Risk factors affecting only that firm. Also called“diversifiable risk.” Market Risk - Economy-wide sources of risk that affect the overall stock market. Also call
ed“systematic risk.”
Xiamen University– Advanced Financial Management
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3.Measuring Riskfraction of portfolio Portfolio rate x= in first asset of return
rate of return fraction of portfolio x+ on second asset in second asset
( (
)( )(
rate of return on first asset
) )
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3.Measuring RiskPortfolio standard deviation
0 5 10 15 Number of Securities
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3.Measuring RiskPortfolio standard deviation
Unique risk Market risk
0 5 10 15 Number of Securities
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4.Portfolio RiskThe variance of a two stock portfolio is the sum of these four boxes
Stock 1 Stock 1 Stock 22 2 x1σ1
Stock 2 x 1x 2σ 12= x 1x 2ρ 12σ 1σ 22 x2σ 2 2
x 1x 2σ 12= x 1x 2ρ 12σ 1σ 2
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4. Portfolio RiskExample Suppose you invest 60% of your portfolio in Exxon Mobil and 40% in Coca Cola. The expected dollar return on your Exxon Mobil stock is 10% and on Coca Cola is 15%. The expected return on your portfolio is:
Expected Return= (. 60× 10 )+ (. 40× 15 )= 12%Xiamen University– Advanced Financial Management
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4.Portfolio RiskExample Suppose you invest 60% of your portfolio in Exxon Mobil and 40% in Coca Cola. The expected dollar return on your Exxon Mobil stock is 10% and on Coca Cola is 15%. The standard deviation of their annualized daily returns are 18.2% and 27.3%, respectively. Assume a correlation coefficient of 1.0 and calculate the portfolio variance.
Exxon - Mobil2 2 Exxon - Mobil x1σ1= (.60) 2× (18.2) 2
Coca - Cola x1x 2ρ12σ1σ 2= .40× .60× 1× 18.2× 27.32 2 2 x2σ= (. 40 )× ( 27 . 3 ) 2 2
Coca - Cola
x1x 2ρ12σ1σ 2= .40× .60× 1× 18.2× 27.3
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