13-0 expected returns 13.1 expected returns are based on the probabilities of possible outcomes in...

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13-1 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process is repeated many times The “expected” return does not even have to be a possible return n i i i R p R E 1 ) ( LO1 © 2013 McGraw-Hill Ryerson Limited

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Page 1: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-1

Expected Returns 13.1

• Expected returns are based on the probabilities of possible outcomes

• In this context, “expected” means average if the process is repeated many times

• The “expected” return does not even have to be a possible return

n

iii RpRE

1

)(

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 2: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-2

Expected Returns – Example 1

• Suppose you have predicted the following returns for stocks C and T in three possible states of nature. What are the expected returns?• State Probability C T• Boom 0.3 0.15 0.25• Normal 0.5 0.10

0.20• Recession ??? 0.02 0.01

• RC = .3(.15) + .5(.10) + .2(.02) = .099 = 9.9%• RT = .3(.25) + .5(.20) + .2(.01) = .177 = 17.7%

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 3: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-3

Expected Returns – Example 1 continued

• This example can also be done in a spreadsheet

• Click on the Excel link to see this

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 4: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-4

Variance and Standard Deviation

• Variance and standard deviation still measure the volatility of returns

• You can use unequal probabilities for the entire range of possibilities

• Weighted average of squared deviations

n

iii RERp

1

22 ))((σ

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 5: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-5

Variance and Standard Deviation – Example 1

• Consider the previous example. What is the variance and standard deviation for each stock?

• Stock C2 = .3(.15-.099)2 + .5(.1-.099)2 + .2(.02-.099)2

= .002029 = .045

• Stock T2 = .3(.25-.177)2 + .5(.2-.177)2 + .2(.01-.177)2

= .007441 = .0863

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 6: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-6

Variance and Standard Deviation – Example continued

• This can also be done in a spreadsheet

• Click on the Excel icon to see this

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 7: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-7

Quick Quiz I

• Consider the following information:• State Probability ABC, Inc.• Boom .25 .15• Normal .50 .08• Slowdown .15 .04• Recession .10 -.03

• What is the expected return?

• What is the variance?

• What is the standard deviation?

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 8: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-8

Portfolios 13.2

• A portfolio is a collection of assets

• An asset’s risk and return is important in how it affects the risk and return of the portfolio

• The risk-return trade-off for a portfolio is measured by the portfolio expected return and standard deviation, just as with individual assets

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 9: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-9

Example: Portfolio Weights

• Suppose you have $15,000 to invest and you have purchased securities in the following amounts. What are your portfolio weights in each security?• $2000 of ABC• $3000 of DEF• $4000 of GHI• $6000 of JKL

•ABC: 2/15 = .133

•DEF: 3/15 = .2

•GHI: 4/15 = .267

•JKL: 6/15 = .4

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 10: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-10

Portfolio Expected Returns

• The expected return of a portfolio is the weighted average of the expected returns for each asset in the portfolio

• You can also find the expected return by finding the portfolio return in each possible state and computing the expected value as we did with individual securities

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jjjP REwRE

1

)()(

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 11: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-11

Example: Expected Portfolio Returns

• Consider the portfolio weights computed previously. If the individual stocks have the following expected returns, what is the expected return for the portfolio?• ABC: 19.65%• DEF: 8.96%• GHI: 9.67%• JKL: 8.13%

• E(RP) = .133(19.65) + .2(8.96) + .267(9.67) + .4(8.13) = 10.24%

• Click the Excel icon for an example

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 12: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-12

Portfolio Variance

• Compute the portfolio return for each state:RP = w1R1 + w2R2 + … + wmRm

• Compute the expected portfolio return using the same formula as for an individual asset

• Compute the portfolio variance and standard deviation using the same formulas as for an individual asset

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 13: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-13

Example: Portfolio Variance

• Consider the following information• Invest 60% of your money in Asset A• State Probability A B• Boom .5 70% 10%• Bust .5 -20% 30%

• What is the expected return and standard deviation for each asset?

• What is the expected return and standard deviation for the portfolio?

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 14: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-14

Portfolio Variance Example continued

• This can also be done in a spreadsheet

• Click on the Excel icon to see this

LO1

Microsoft Office Excel Worksheet

© 2013 McGraw-Hill Ryerson Limited

Page 15: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-15

Another Way to Calculate Portfolio Variance

• Portfolio variance can also be calculated using the following formula:

0.0529

0.10.45-1.004.06.020.010.40.20256.0

have we1.00,- is B andA between n correlatio that theAssuming

2

2

222

,22222

P

P

ULULULUULLP CORRxxxx

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 16: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-16

Quick Quiz II

• Consider the following information• State Probability X Z• Boom .25 15% 10%• Normal .60 10% 9%• Recession .15 5% 10%

• What is the expected return and standard deviation for a portfolio with an investment of $6,000 in asset X and $4,000 in asset Z?

LO1

© 2013 McGraw-Hill Ryerson Limited

Page 17: 13-0 Expected Returns 13.1 Expected returns are based on the probabilities of possible outcomes In this context, “expected” means average if the process

13-17

Arbitrage Pricing Theory (APT) 13.8

• Similar to the CAPM, the APT can handle multiple factors that the CAPM ignores

• Unexpected return is related to several market factors

KFKFFF RRERRERRERRE )(...)()()( 2211

LO1

© 2013 McGraw-Hill Ryerson Limited