acf2013 session 05
TRANSCRIPT
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ACF 2013 0
Applied Corporate Finance
Session 5:
Risk, Returns andFinancial Markets
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Learning Outcomes
1. Know how to calculate the return on an investment2. Understand the historical returns on various types of
investments
3. Understand the historical risks on various types of
investments4. Understand the implications of market efficiency
5. Know how to calculate expected returns
6. Understand the impact of diversification
7. Understand the systematic risk principle8. Understand the security market line
9. Understand the risk-return trade-off
10. Be able to use the Capital Asset Pricing Model
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1. Return on Investment Total dollar return = income from
investment + capital gain (loss) due tochange in price
Example: You bought a bond for $950 one year ago. You
have received two coupons of $30 each. Youcan sell the bond for $975 today. What is your
total dollar return? Income = 30 + 30 = 60
Capital gain = 975950 = 25
Total dollar return = 60 + 25 = $85
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Percentage Returns
It is generally more intuitive to think in termsof percentage, rather than dollar, returns
Dividend yield = income / beginning price
Capital gains yield = (ending pricebeginning price) / beginning price
Total percentage return = dividend yield +
capital gains yield
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ExampleCalculating Returns
You bought a stock for $35, and you receiveddividends of $1.25. The stock is now sellingfor $40.
What is your dollar return?
Dollar return = 1.25 + (4035) = $6.25
What is your percentage return?
Dividend yield = 1.25 / 35 = 3.57% Capital gains yield = (4035) / 35 = 14.29%
Total percentage return = 3.57 + 14.29 = 17.86%
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Arithmetic Mean vs.
Geometric Mean
An example: Year 1 -- $100 to $50R1= -50%
Year 2 -- $50 to $100R2= 100%
Whats your average return? Arithmetic average = (-50+100)/2 = 25%!!
From $100 back to $1000% returnGeometric mean
Arithmetic averagereturn earned in an average periodover multiple periods
Geometric averageaverage compound return perperiod over multiple periodsThe geometric average will be less than the arithmeticaverage unless all the returns are equal
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Arithmetic Mean vs.
Geometric Mean (cont.)
Which is better? The arithmetic average is overly optimistic for long horizons The geometric average is overly pessimistic for short horizons So, the answer depends on the planning period under
consideration
1520 years or less: use the arithmetic 2040 years or so: split the difference between them 40 + years: use the geometric
Another example Year 1 5%
Year 2 -3% Year 3 12%
Arithmetic average = (5 + (3) + 12)/3 = 4.67% Geometric average =
[(1+.05)*(1-.03)*(1+.12)]1/31 = 0.0449 = 4.49%
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2. Risk, Return and
Financial Markets
The Importance of Financial Markets Financial markets allow companies, governments and
individuals to increase their utility Savers have the ability to invest in financial assets so that they can
defer consumption and earn a return to compensate them for doing so
Borrowers have better access to the capital that is available so thatthey can invest in productive assets
Financial markets also provide us with information about thereturns that are required for various levels of risk
We can examine returns in the financial markets to help usdetermine the appropriate returns on non-financial assets
Lessons from capital market history1. There is a reward for bearing risk
2. The greater the potential reward, the greater the risk
This is called the risk-return trade-off
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Historical Record in US Financial Markets
Insert Figure 12.4 here
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See Figures
12.5 to 12.7for moredetaileddistributionsof returns.
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Average Returns
Investment Average Return
Large Stocks 12.3%
Small Stocks 17.1%
Long-term CorporateBonds
6.2%
Long-term GovernmentBonds
5.8%
U.S. Treasury Bills 3.8%
Inflation 3.1%
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Table 12.3 Average Annual Returnsand Risk Premiums
Investment Average Return Risk Premium
Large Stocks 12.3% 8.5%
Small Stocks 17.1% 13.3%
Long-term Corporate
Bonds
6.2% 2.4%
Long-termGovernment Bonds
5.8% 2.0%
U.S. Treasury Bills 3.8% 0.0%
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Risk premium = the extra return earned for taking on risk Treasury bills are considered to be risk-free The risk premium is the return over and above the risk-free rate
Do youstillrememberthe firstlessonfrom stock
markethistory?1.Thereis areward forbearing
risk
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Variability of returns
Insert Figure 12.9 here
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Review: Variance and
Standard Deviation
Variance and standard deviation measure thevolatility of asset returns
The greater the volatility, the greater the
uncertainty
Historical variance, 2= (R-)2/ (N-1)
Standard deviation, = 2
See example in text and also in the next slide
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Variance and Standard Deviation
Year ActualReturn
(R)
AverageReturn
()
Deviation fromthe Mean
d = (R-)
SquaredDeviation
d2
1 0.15 0.105 0.045 0.002025
2 0.09 0.105 -0.015 0.000225
3 0.06 0.105 -0.045 0.002025
4 0.12 0.105 0.015 0.000225
Totals 0.42 0.00 0.0045
Variance2=0.0045 / (4-1) = 0.0015
Standard Deviation= 0.03873 or 3.87 %
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Insert Figure 12.10 here
Historical Returns and Std. Dev.
14
Secondlesson:2. The
greater thepotentialreward, thegreater therisk
Risk-Return
Tradeoff
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The Normal Distribution
Insert figure 12.11 here
Assumes normality but recent studies have shown that distributionshave fat tails. Whats the implication?
Extreme events are not that improbable!!! See Nassim Talebs Black Swan and Anti-Fragile
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Discussion on Risk premium
Suppose you want to invest in a project withthe same risk as a small-cap company, whatshould be the expected return?
Whats the return for small caps?
17.1% !!
So your IRR must be at least 17%.
If not better to invest in small-cap portfolio! See Fig 12.12 for risk premiums across the
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3. Efficient Capital Markets
Stock prices are in equilibrium or are fairlypriced If this is true, then you should not be able to earn
abnormal or excess returns What Makes Markets Efficient? There are many investors out there doing research
As new information comes to market, this information isanalyzed and trades are made based on this information
Therefore, prices should reflect all available publicinformation
If investors stop researching stocks, then the marketwill not be efficient
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EMH and Reaction to new information
Insert figure 12.13 here
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Common Misconceptions
about EMH
Efficient markets DO NOTimply that investorscannot earn a positive return in the stockmarket
They do mean that, on average, you will earna return that is appropriate for the riskundertaken and there is not a bias in pricesthat can be exploited to earn excess returns
Market efficiency will not protect you fromwrong choices if you do not diversifyyou stilldont want to put all your eggs in one basket
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Forms of Market Efficiency
Market efficiency is about whether informationgets incorporated in the price.
Eugene Fama suggests that information can
be organized into 3 categories. Each category relates to a particular form of
market efficiency.
Strong formSemistrong form
Weak formAll Information
All publicly available information
Information frommarketprices/vol
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Strong Form Efficiency
Prices reflect all information, including publicand private (insider information)
If the market is strong form efficient, then
investors could not earn abnormal returnsregardless of the information they possessed
Empirical evidence indicates that markets are
NOT strong form efficient and that insiders couldearn abnormal returns
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Semistrong Form Efficiency
Prices reflect all publicly available informationincluding trading information, annual reports,press releases, etc.
If the market is semistrong form efficient, theninvestors cannot earn abnormal returns bytrading on public information
Implies that fundamental analysis will not lead toabnormal returns
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Weak Form Efficiency Prices reflect all past market information
such as price and volume
If the market is weak form efficient, then
investors cannot earn abnormal returns bytrading on market information
Implies that technical analysis will not leadto abnormal returns
Empirical evidence indicates that marketsare generally weak form efficient
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4. Expected Returns
Expected returns are based on theprobabilities of possible outcomes
In this context, expected means averageif the process is repeated many times
The expected return does not even haveto be a possible return
where pi = probability of state i occurring
Ri= return when state i occurs
n
i
iiRpRE1
)(
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Example: Expected Returns
Suppose you have predicted the followingreturns for stocks C and T in threepossible states of the economy. What arethe expected returns?
State Probability C T
Boom 0.3 15 25
Normal 0.5 10 20
Recession ??? 2 1
RC= 0.3(15) + 0.5(10) + 0.2(2) = 9.9%
RT= 0.3(25) + 0.5(20) + 0.2(1) = 17.7%
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Variance and Standard
Deviation
Variance and standard deviation measure thevolatility of returns
Using unequal probabilities for the entirerange of possibilities
Weighted average of squared deviations
n
i
ii RERp1
22 ))((
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Example: Variance and Std. Dev.
Consider the previous example. What are thevariance and standard deviation for each stock?
Stock C
2= 0.3(15-9.9)2+ 0.5(10-9.9)2+ 0.2(2-9.9)2= 20.29
= 4.50%
Stock T
2= 0.3(25-17.7)2+ 0.5(20-17.7)2+ 0.2(1-17.7)2
= 74.41
= 8.63%
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5. Portfolios
A portfolio is a collection of assets
An assets risk and return are important in howthey affect the risk and return of the portfolio
The risk-return trade-off for a portfolio ismeasured by the portfolio expected return andstandard deviation, just as with individual assets
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Example: Portfolio Weights
Suppose you have $15,000 to invest and youhave purchased securities in the followingamounts. What are your portfolio weights in
each security? $2000 of DCLK
$3000 of KO
$4000 of INTC
$6000 of KEI
DCLK: 2/15 = 0.133
KO: 3/15 = 0.2
INTC: 4/15 = 0.267
KEI: 6/15 = 0.4
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Portfolio Expected Returns
The expected return of a portfolio is the weightedaverage of the expected returns of the respective assetsin the portfolio
You can also find the expected return by finding the
portfolio return in each possible state and computing theexpected value as we did with individual securities
m
j
jjP REwRE1
)()(
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Example: Expected Portfolio
Returns
Consider the portfolio weights computed previously. Ifthe individual stocks have the following expected returns,what is the expected return for the portfolio?
DCLK: 19.69%
KO: 5.25%
INTC: 16.65%
KEI: 18.24%
E(RP) = 0.133(19.69) + 0.2(5.25) + 0.267(16.65) +0.4(18.24) = 15.41%
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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
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Example: Portfolio Variance
Consider the following information Invest 50% of your money in Asset A
State Probability A B
Boom 0.4 30% -5%
Bust 0.6 -10% 25% What are the expected return and standard
deviation for each asset? A-(6% & 19.6%) B-(13% & 14.7%)
What are the expected return and standarddeviation for the portfolio? 9.5% & 2.45%
Portfolio12.5%
7.5%
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6. Expected vs. Unexpected Returns
Realized returns are generally not equal toexpected returns There is the expected component and the
unexpected component At any point in time, the unexpected return can be either
positive or negative Over time, the average of the unexpected component is
zero
Announcements and news contain both anexpected component and a surprise component
It is the surprise component that affects a stocks priceand therefore its return This is very obvious when we watch how stock prices
move when an unexpected announcement is made orearnings are different than anticipated
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Efficient Markets
Efficient markets are a result of investorstrading on the unexpected portion ofannouncements
The easier it is to trade on surprises, themore efficient markets should be
Efficient markets involve random price
changes because we cannot predictsurprises
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7. Systematic & Unsystematic Risk
Systematic risk Risk factors that affect a large number of assets
Also known as non-diversifiable risk or market risk
Includes such things as changes in GDP,inflation, interest rates, etc.
Unsystematic risk
Risk factors that affect a limited number of assets
Also known as unique risk and asset-specific risk
Includes such things as labor strikes, partshortages, etc.
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Returns
Total Return = expected return + unexpectedreturn
Unexpected return = systematic portion +
unsystematic portion Therefore, total return can be expressed as
follows:
Total Return = expected return + systematic portion +
unsystematic portion
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8. Diversification & Portfolio Risk
Portfolio diversification is the investment in severaldifferent asset classes or sectors Diversification is not just holding a lot of assets For example, if you own 50 Internet stocks, you are not
diversified However, if you own 50 stocks that span 20 different industries,
then you are diversified Diversification can substantially reduce the variability of
returns without an equivalent reduction in expectedreturns This reduction in risk arises because worse than expected
returns from one asset are offset by better than expectedreturns from another
So, can the risk of a portfolio be totally diversifiedaway?
13-38
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Diversification and Portfolio Risk (cont)
M. Statman selected at random stocks from theNYSE to include in a portfolio.
Starting with one stock he kept on adding more
stocks to a portfolio and calculated the resultingrisk of the portfolio.
As more stocks were added, the portfolio riskdeclined . However, most of the benefits from
diversification were obtained with 10 stocks.With 30 stocks, there was little remaining benefitfrom diversification.
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Table 13.7 Std Dev of Annual Portfolio Returns
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Figure 13.1: Portfolio Diversification
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Unsystematic risk isessentially eliminatedby diversification
Total Risk =Systematic risk +Unsystematic risk
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9. Systematic Risk and Beta
There is a reward for bearing risk
There is not a reward for bearing riskunnecessarily
The expected return on a risky assetdepends only on that assets systematic risksince unsystematic risk can be diversified
away How do we measure systematic risk?
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Measuring Systematic Risk
How do we measure systematic risk? We use the beta coefficient
What does beta tell us?
A beta of 1 implies the asset has the same systematicrisk as the overall market
A beta < 1 implies the asset has less systematic riskthan the overall market
A beta > 1 implies the asset has more systematic risk
than the overall market E.g. If the markets returns increases by 10%, the stocks
return will increase by more than 10%
However, if the markets return decreases by 10%, the stocksreturn will decrease by more than 10%
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Table 13.8 coefficients for selected firms
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Total vs. Systematic Risk
Consider the following information:
Standard Deviation BetaSecurity C 20% 1.25
Security K 30% 0.95 Which security has more total risk?
Which security has more systematic risk?
Which security should have the higher expectedreturn?
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Example: Portfolio Betas
Consider the previous example with thefollowing four securities
Security Weight Beta
DCLK 0.133 2.685
KO 0.2 0.195
INTC 0.267 2.161
KEI 0.4 2.434
What is the portfolio beta? 0.133(2.685) + 0.2(0.195) + 0.267(2.161) +
0.4(2.434) = 1.947
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10 S it M k t Li d
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10. Security Market Line andCapital Asset Pricing Model
Remember that the risk premium = expectedreturnrisk-free rate
The higher the beta, the greater the risk
premium should be Can we define the relationship between the risk
premium and beta so that we can estimate the
expected return? YES!
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Market Equilibrium
In equilibrium, all assets and portfolios musthave the same reward-to-risk ratio, and they allmust equal the reward-to-risk ratio for the market
This is illustrated in the graph on the next slide.
M
fM
A
fA RRERRE
)()(
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Portfolio Expected Returns and Betas
0%
5%
10%
15%
20%
25%
30%
0 0.5 1 1.5 2 2.5 3
Beta
ExpectedR
eturn
Rf
E(RA)
A
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See pg455/6 fordata anddiscussion
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Reward-to-Risk Ratio
The reward-to-risk ratio is the slope of the lineillustrated in the previous example
Slope = (E(RA)Rf) / (A0)
Reward-to-risk ratio for previous example =(208) / (1.60) = 7.5
What if an asset has a reward-to-risk ratio of 8(implying that the asset plots above the line)?
What if an asset has a reward-to-risk ratio of 7(implying that the asset plots below the line)?
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Security Market Line
The security market line (SML) is therepresentation of market equilibrium
The slope of the SML is the reward-to-risk ratio:
(E(RM)Rf) / M But since the beta for the market is ALWAYS
equal to one, the slope can be rewritten
Slope = E(RM)Rf= market risk premium
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The Capital Asset Pricing
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The Capital Asset Pricing
Model (CAPM)
The capital asset pricing model defines therelationship between risk and return
E(RA
) = Rf
+ A
(E(RM
)Rf
)
If we know an assets systematic risk, wecan use the CAPM to determine itsexpected return
This is true whether we are talking aboutfinancial assets or physical assets
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Fig. 13.4: The Security Market Line
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Factors Affecting Expected
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Factors Affecting Expected
Return
Pure time value of money: measured bythe risk-free rate
Reward for bearing systematic risk:
measured by the market risk premium
Amount of systematic risk: measured bybeta
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Example - CAPM
Consider the betas for each of the assets givenearlier. If the risk-free rate is 4.15% and the marketrisk premium is 8.5%, what is the expected returnfor each?
Security Beta Expected ReturnDCLK 2.685 4.15 + 2.685(8.5) = 26.97%
KO 0.195 4.15 + 0.195(8.5) = 5.81%
INTC 2.161 4.15 + 2.161(8.5) = 22.52%KEI 2.434 4.15 + 2.434(8.5) = 24.84%
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Ethics Issues
Program trading is defined as automated tradinggenerated by computer algorithms designed toreact rapidly to changes in market prices. Is itethical for investment banking houses to operatesuch systems when they may generate tradeactivity ahead of their brokerage customers, towhich they owe a fiduciary duty?
Suppose that you are an employee of a printing firmthat was hired to proofread proxies that containedunannounced tender offers (and unnamed targets).Should you trade on this information, and would itbe considered illegal?
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