mba 8480 - portfolio theory and asset pricing

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Portfolio Theory & Asset Pricing Professor Mike Pagano [email protected]

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Page 1: MBA 8480 - Portfolio Theory and Asset Pricing

Portfolio Theory & Asset Pricing

Professor Mike [email protected]

Page 2: MBA 8480 - Portfolio Theory and Asset Pricing

Magnitude of cash flows expected by shareholdersRiskiness of the cash flows Timing of the cash flow stream

2

Key Factors that Affect Stock Price

“M.R.T.”

Page 3: MBA 8480 - Portfolio Theory and Asset Pricing

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Value = + + +FCF1 FCF2 FCF∞

(1 + WACC)1 (1 + WACC)∞

(1 + WACC)2

Free cash flow(FCF)

Market interest rates

Firm’s business risk

Market risk aversion

Firm’s debt/equity mixCost of debt

Cost of equity

Weighted average

cost of capital(WACC)

Net operatingprofit after taxes

Required investmentsin operating capital

=

Determinants of Intrinsic Value: The Cost of Equity

...

Page 4: MBA 8480 - Portfolio Theory and Asset Pricing

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What is investment risk?

Investment risk is exposure to the chance of earning less than expected.

The greater the chance of a return far below the expected return, the greater the risk.

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Scenarios and Returns for a 10-Year Zero Coupon T-bond Over the Next Year

Scenario

Probability Return

Worst Case 0.10 −14%Poor Case 0.20 −4%Most Likely 0.40 6%Good Case 0.20

16%Best Case 0.10

26% 1.00

Page 6: MBA 8480 - Portfolio Theory and Asset Pricing

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Discrete Probability Distribution for Scenarios

-14% -4% 6% 16% 26%0.0

0.1

0.2

0.3

0.4

Returns

Prob

abili

ty

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Example of a Continuous Probability Distribution

-30% -20% -10% 0% 10% 20% 30% 40%

Returns

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Calculate the expected rate of return on the bond

= 0.10(-14%) + 0.20(-4%) + 0.40(6%)+ 0.20(16%) + 0.10(26%)

= 6%

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Consider these probability distributions for two investments. Which riskier? Why?

-30% -20% -10% 0% 10% 20% 30% 40%

Return

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10

Portfolio Returns

The percentage of a portfolio’s value that is invested in Stock i is denoted by the “weight” wi.

Notice that the sum of all the weights must equal 1.

With n stocks in the portfolio, its return each year will be:

Page 11: MBA 8480 - Portfolio Theory and Asset Pricing

11

Example: 2-Stock Portfolio

Form a portfolio by selling 25% of the Blandy stock and investing it in the higher-risk Gourmange stock.

The portfolio return each year will be:

Page 12: MBA 8480 - Portfolio Theory and Asset Pricing

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Historical Data for Stocks and Portfolio Returns

Year Blandy GourmangePortfolio of Blandy and

Gourmange

1 26% 47% 31.3%

2 15 −54 −2.3

3 −14 15 −6.8

4 −15 7 −9.5

5 2 −28 −5.5

6 −18 40 −3.5

7 42 17 35.8

8 30 −23 16.8

9 −32 −4 −25.0

10 28 75 39.8

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13

Portfolio Historical Average and Standard Deviation

The portfolio’s average return is the weighted average of the stocks’ average returns.

The portfolio’s standard deviation is less than either stock’s σ!

What explains this? Diversification works!

Blandy Gourmange PortfolioAverage return 6.4% 9.2% 7.1%Standard deviation 25.2% 38.6% 22.2%

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How closely do the returns follow one another?

1 2 3 4 5 6 7 8 9 10-75%

-50%

-25%

0%

25%

50%

75%

Blandy

Gourmange

Year

Return Notice that the returns don’t move in perfect lock-step: Sometimes one is up and the other is down.

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15

Correlation Coefficient (ρi,j)

Loosely speaking, the correlation (r) coefficient measures the tendency of two variables to move together.

Estimating ρi,j with historical data is tedious:

Page 16: MBA 8480 - Portfolio Theory and Asset Pricing

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Excel Functions to Estimate the Correlation Coefficient (ρi,j)

“Stocki” and “Stockj” are the cell ranges with historical returns for Stocks i and j.

Can use the =Correl(x,y) command in Excel:

Est. ρi,j = Rij =Correl(Stocki,Stockj)

Correlation between Blandy (B) and Gourmange (G):Est. ρB,G = 0.11

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2-Stock Portfolios

r = −1– 2 stocks can be combined to form a riskless

portfolio: σp = 0.r = +1

– Risk is not “reduced”– σp is just the weighted average of the 2 stocks’

standard deviations. −1 < r < −1

– Risk is reduced but not eliminated.

Page 18: MBA 8480 - Portfolio Theory and Asset Pricing

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Adding Stocks to a Portfolio

What would happen to the risk of an average 1-stock portfolio as more randomly selected stocks were added?

sp would decrease because the added stocks would not be perfectly correlated (the benefits of diversification).

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Risk vs. Number of Stocks in Portfolio

10 20 30 40 2,000 stocks

Company Specific (Diversifiable) Risk

Market Risk

20%

0

Total Portfolio Risk, sp

sp

35%

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Total risk = Market risk + Diversifiable risk

Market risk is that part of a security’s stand-alone risk that cannot be eliminated by diversification.

Firm-specific, or diversifiable, risk is that part of a security’s stand-alone risk that can be eliminated by diversification.

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Insights from Portfolio Theory

As more stocks are added, each new stock has a smaller risk-reducing impact on the portfolio.

sp falls very slowly after about 40 stocks are included. The lower limit for sp is about 20% = sM

By forming well-diversified portfolios, investors can eliminate about half the risk of owning a single stock.

Page 22: MBA 8480 - Portfolio Theory and Asset Pricing

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Portfolio TheorySuppose Asset A has an expected return of 10 percent

and a standard deviation of 20 percent.

Asset B has an expected return of 16 percent and a standard deviation of 40 percent.

If the correlation between A and B is 0.35, what are the expected return and standard deviation for a portfolio comprised of 30 percent Asset A and 70 percent Asset B?

Page 23: MBA 8480 - Portfolio Theory and Asset Pricing

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Portfolio Expected Return

rp = wArA + (1 – wA) rB^ ^ ^

= 0.3(0.10) + 0.7(0.16)

= 0.142 = 14.2%

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Portfolio Standard Deviation

σP = √w2Aσ2

A + (1-wA)2σ2B + 2wA(1-wA)ρABσAσB

= √0.32(0.22) + 0.72(0.42) + 2(0.3)(0.7)(0.35)(0.2)(0.4)

= 0.306

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Attainable Portfolios: rAB = 0.35

rAB = +0.35: Attainable Set of Risk/Return Combinations

0%

5%

10%

15%

20%

0% 10% 20% 30% 40%

Risk, sp

Expe

cted

retu

rn

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Attainable Portfolios: rAB = +1.0

r AB = +1.0: Attainable Set of Risk/Return Combinations

0%

5%

10%

15%

20%

0% 10% 20% 30% 40%

Risk, p

Expe

cted

retu

rn

s

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Attainable Portfolios: rAB = -1.0

r AB = -1.0: Attainable Set of Risk/Return Combinations

0%

5%

10%

15%

20%

0% 10% 20% 30% 40%

Risk, s p

Expe

cted

retu

rn

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Attainable Portfolios with a Risk-Free Asset (Expected risk-free return = 5%)

Attainable Set of Risk/Return Combinations with Risk-Free Asset

0%

5%

10%

15%

0% 5% 10% 15% 20%

Risk, sp

Expe

cted

retu

rn

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ExpectedPortfolio Return, rp

Risk, sp

Efficient Set

Feasible Set

Feasible and Efficient Portfolios

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Feasible and Efficient Portfolios

The feasible set of portfolios represents all portfolios that can be constructed from a given set of stocks.

An efficient portfolio is one that offers:– the most return for a given amount of risk, or– the least risk for a given amount of return.

The collection of efficient portfolios is called the efficient set or efficient frontier.

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What is the CAPM?

The CAPM is an equilibrium model that specifies the relationship between risk and required rate of return for assets held in well-diversified portfolios.

It is based on the premise that only one factor affects risk.

What is that factor?

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What are the key assumptions of the CAPM?

Investors all think in terms of a single holding period.

All investors have identical expectations.

Investors can borrow or lend unlimited amounts at the risk-free rate.

(More...)

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CAPM Assumptions (Cont.)

All assets are perfectly divisible.

There are no taxes and no transactions costs.

All investors are price takers, that is, investors’ buying and selling won’t influence stock prices.

Quantities of all assets are given and fixed.

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What impact does rRF have onthe efficient frontier?

When a risk-free asset is added to the feasible set, investors can create portfolios that combine this asset with a portfolio of risky assets (and improves the risk-return trade-off).

The straight line connecting rRF with M, the tangency point between the line and the old efficient set, becomes the new efficient frontier.

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M

Z

.ArRF

sM Risk, sp

The Capital MarketLine (CML):

New Efficient Set

..B

rM^

ExpectedReturn, rp

Efficient Set with a Risk-Free Asset

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What is the Security Market Line (SML)?

The CML gives the risk/return relationship for efficient portfolios.

The Security Market Line (SML), also part of the CAPM, gives the risk/return relationship for individual stocks.

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The SML Equation

The measure of risk used in the SML is the beta coefficient of company-i, bi.

The Security Market Line (SML) equation:

ri = rRF + (RPM) bi

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Using a Regression to Estimate Beta

Run a regression with returns on the stock plotted on the Y-axis and returns on the market portfolio plotted on the X-axis.

The slope of the regression line is equal to the stock’s beta coefficient.

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Method of Calculation

Analysts use a computer with statistical or Excel spreadsheet software to perform the regression.

– At least 3 years of monthly returns or 1 year’s of weekly (or daily) returns are used.

– Many analysts use 5 years of monthly returns.

Page 40: MBA 8480 - Portfolio Theory and Asset Pricing

Excel: Plot Trendline Right on Chart

-0.45 0 0.45

-0.45

0

0.45

f(x) = 0.602690829214717 x + 0.0157847336628226R² = 0.231585037834589

MarketReturns

Blandy Returns

40

Page 41: MBA 8480 - Portfolio Theory and Asset Pricing

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Estimated Beta from Regression

The trendline is plotted on the previous slide, including the regression equation.– y = 0.6027x + 0.0158– y = Blandy’s stock returns– x = Broad Stock Market returns (e.g., S&P 500)– b = Slope = 0.6027 (same as before)

Much Easier way—use the Excel SLOPE function.– Beta = b =SLOPE(y_values,x_values)

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Interpreting Regression Results

If beta = 1.0, stock is average risk.If beta > 1.0, stock is riskier than average.If beta < 1.0, stock is less risky than average.

Most stocks have betas in the range of 0.5 to 1.5.

The R2 measures the percent of a stock’s variance that is explained by the market. The typical R2 is:– 0.30 for an individual stock– over 0.90 for a well diversified portfolio

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Interpreting Regression Results (Cont.)

The 95% confidence interval shows the range in which we are 95% sure that the true value of beta lies. The typical range is:– from about 0.5 to 1.5 for an individual stock

– from about 0.9 to 1.1 for a well diversified portfolio

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Web Sites for Beta

http://finance.yahoo.com– Enter the ticker symbol for a “Stock Quote”, such

as IBM or Dell, then click GO.– When the quote comes up, select Key Statistics

from panel on left.www.valueline.com

– Enter a ticker symbol at the top of the page.

Can also access raw return data from sites such as WRDS’s CRSP return database (1926-present).

Page 45: MBA 8480 - Portfolio Theory and Asset Pricing

Calculate the weights for a portfolio with $1.4 million in Blandy and $0.6 million in Gourmange:

Find the weights based on total portfolio value of $2 million:

– wB = $1.4/($1.4+$0.6) = 70%

– wG = $0.6/($1.4+$0.6) = 30%

The portfolio beta is the weighted average of the stocks’ betas:

45

Page 46: MBA 8480 - Portfolio Theory and Asset Pricing

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Calculate the portfolio beta:

bp = 0.7(bBlandy) + 0.3(bGour.)

= 0.7(0.60) + 0.3(1.30)

= 0.81

Page 47: MBA 8480 - Portfolio Theory and Asset Pricing

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What is the Required Return on the Portfolio?

(1) Can use SML with portfolio beta: rp = rRF + bp (RPM)

= 4.0% + 0.81%(5%) = 8.05%

or,

(2) Can use fact that rp= rp= 0.7(7.0%) + 0.3(10.5%)

= 8.05%

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s2 = b2 s2 + se2.

s2 = variance= total risk of Stock j.

b2 s2 = market risk of Stock j.

se2= variance of error term= diversifiable risk of Stock j.

j j M j

j

j

j M

What is the relationship between total, market, and diversifiable risk?

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Market Risk vs. Diversifiable Risk

10 20 30 40 2,000 stocks

Company Specific (Diversifiable) Risk, se

Market Risk, sM

20%

0

Total Portfolio Risk, sp

sp

35%

Page 50: MBA 8480 - Portfolio Theory and Asset Pricing

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What are two potential tests that can be conducted to verify the CAPM?

Beta stability tests

Tests based on the slope of the SML

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Tests of the SML indicate:

A more-or-less linear relationship between realized returns and market risk.

Slope is less than predicted.

Irrelevance of diversifiable risk specified in the CAPM model can be questioned.

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Tests of the SML indicate:“Historical” Estimated Betas of individual securities are not

good estimators of future risk.

Can use an “adjusted beta” as follows:Adjusted Beta = 0.35 + 0.67 x Estimated Beta

Adjusted Beta is a better forward-looking estimate of risk.

Betas of portfolios of 10 or more randomly selected stocks are reasonably stable.

Past portfolio betas are good estimates of future portfolio volatility.

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Are there problems with the CAPM tests?

Yes.– Richard Roll questioned whether it was even

conceptually possible to test the CAPM.

– Roll showed that it is virtually impossible to prove investors behave in accordance with CAPM theory.

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What are our conclusions regarding the CAPM?

It is impossible to verify.

Recent studies have questioned its validity.

Investors seem to be concerned with both market risk and total, stand-alone risk. Therefore, the SML may not produce a correct estimate of ri.

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What are our conclusionsregarding the CAPM? (cont.)

CAPM/SML concepts are based on expectations, yet betas are calculated using historical data. A company’s historical data may not reflect investors’ expectations about future riskiness.

Other models are being developed that will one day replace the CAPM, but it still provides a good framework for thinking about risk and return.

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What is the difference between the CAPM and the Arbitrage Pricing Theory (APT)?

The CAPM is a single factor model.

The APT proposes that the relationship between risk and return is more complex and may be due to multiple factors such as GDP growth, expected inflation, tax rate changes, and dividend yield.

Other multi-factor models such as the 3-factor “Fama-French” model can be used to create more precise estimates of expected return (includes Rm – Rf; SMB, and HML).