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Chapter 11
Securities Markets
© 2014 John Wiley and Sons
Dr. Mariusz Dybał
Institute of Economic Sciences
mariusz.dybal@uwr.edu.pl
2
Chapter Outcomes
 Describe the processes and institutions used by
businesses to distribute new securities to the
investing public.
 Outline the recent difficulties and changes in
structure of the investment banking industry.
 Describe how securities are traded among
investors.
 Identify the regulatory mechanisms by which the
securities exchanges and the over-the-counter
markets are controlled.
 Explain influences that affect broker commissions.
3
Issuing Securities: Primary
Security Markets
 Primary versus secondary securities
markets
 Initial Public Offerings (IPOs)
 Investment Banks
4
Functions of Investments Banks
 Three Main Functions:
– Origination
– Underwriting
– Selling
 Origination
– Public Offering
– Private Placement
– Prospectus
5
Investment Bank Functions,
continued
 Underwriting
– “Carrying the risk”
– Best efforts
– Shelf registration
– Private placement
– Rights offerings
– Competitive bids
– Dutch auction
6
Dutch Auction Example
 Yoogle to offer 100 million shares
 Bidder Price Number of shares
A $20.50 25 million
B $20.47 25 million
C $20.45 25 million
D $20.43 25 million
E $20.40 25 million
 Clearing price: $20.43
7
Investment Bank Functions,
continued
 Selling
– Syndicate
– Tombstone Ad
– Aftermarket
 Underwriting fees in 2012:
$60 billion
8
The Costs of Raising Capital
 The costs of issuing stocks and
bonds are called “flotation costs.”
– Out-of-pocket costs
– Spread
– Underpricing
 The sum of these costs can total 20-
30% or more of the funds raised
 Hot/cold IPO markets
9
Innovations in Investment
Banking
 Security design to meet needs of
issuers/purchases
 Offering securities via internet “dutch
auctions”—both stocks and bonds
(Internotes, Direct Access Notes)
Facebook IPO
 Syndicate: Morgan Stanley (lead) and
32 other investment banking firms
 Offer price: $38 per share
– Firm value at offer price: $104 billion
– Underwriting fees: $176 million
– Underwriters, firm agreed to raise offer
price to $38 and increase number of
shares to be sold shortly before the IPO
10
Facebook IPO
 Initial ‘pop’ at IPO…followed by price
decline
– Computer and trading issues at Nasdaq
– Disappointing sales, profit news; GM
pullout
– Research analysts were reducing profit
estimates for FB
– Tough market—Groupon, Yelp, and
Zynga hi-tech IPOs followed by price
declines
11
Facebook IPO
12
13
What else do Investment Banks
do?
 Commercial paper
 Mergers and acquisitions
 Manage investment funds (e.g.,
company pension funds)
14
Investment Banking Regulations
 Securities Act of 1933
– Full, fair, and accurate disclosure
– Prevent fraud
 Securities Exchange Act of 1934
– Established SEC
– Brokers, dealers register with SEC
 State “blue sky” laws
15
Investment Banking Regulations
 Glass-Steagall Act
– Commercial banks cannot underwrite
securities
 Gramm-Leach-Bliley Act
– Removed many restraints of Glass-
Steagall on financial services firms
16
Trading Securities: Secondary
Securities Markets
 Organized Exchange versus Over-the-
Counter (OTC)
 Organized Exchange: NYSE
 NYSE is a private firm which went “public”
in 2006 by acquiring a publicly traded firm
(Archipelago) which offers electronic
trading of securities
17
Structure of the NYSE
 Before 2006: members own “seats”
 Now: 1500 trading licenses exist—
called Stock Exchange Auction
Trading System (SEATS)
 SEATS allow holders access to the
NYSE trading floor (physical
location) and electronic trading
access.
18
Structure of the NYSE
 Floor brokers
– House or commission brokers
– Independent brokers
 Registered traders
 Designated Market Makers
– Maintain inventory of stocks assigned
to them
– Maintain a liquid and orderly market
– Took over the role of “specialists” on
the NYSE
19
Structure of the NYSE
 Companies need to meet listing
requirements, pay fees
 Original listing fee: $125,000-
$250,000
 Annual fee: $42,000-$500,000
depending on number of shares
 Listing requirements:
http://usequities.nyx.com/regulation/listed-companies-
compliance/listings-standards/us
20
Security Transactions
 Bid price: offered by buyer
 Ask: requested by seller
 Spread: the difference between them
– Narrower spreads imply more liquidity
and faster completion of a trade
 Typical display:
– Bid: 30.42 x 50900
– Ask: 30.43 x 50800
21
Security Transactions
 Market order
 Limit order
 Stop order
 Short sale
– Uptick rule
– 19.95 19.95 20.00 20.00
– 20.07 20.01 20.01
– Abolished in 2007, on a trial basis;
occasionally consider re-instating it for
all or some stocks.
22
Buying on Margin
 “Buying on margin” means to use
some of your money (equity) and
some borrowed funds to purchase a
security
 Margin: investor’s equity position
 Margin requirements: minimum
percentage of the purchase price that
the investor must pay from his/her
funds
23
Margin’s effect on trading profits
Assume: 60% margin
Initially buy securities worth $50,000
Initial
position t=1 t=2
Mkt value $50,000 $55,000 $45,000
Less: borrowed
funds 20,000 20,000 20,000
Equity $30,000 $35,000 $25,000
24
More investing terms
 Margin call
 Maintenance margin
Margin = equity/market value
= (MV - $ borrowed)/MV
= (price x # shares - $ borrowed)
price x # shares
Price for margin call:
$ borrowed/[# shares (1-maint. margin)]
25
More terms…
 Round lot
 Odd lot
 Program trading
26
Over-The-Counter Market (OTC)
 NASDAQ
 Not just for small firms
– Intel, Apple, Microsoft
 Centralized versus non-centralized
location
 Specialists versus dealers
27
Other Secondary Markets
 Third Market
– Large blocks (10,000 shares) traded
OTC
 Fourth Market
– Electronic trading, ECNs
28
Securities Markets and Ethics Issues
 In the past, some market makers and
specialists have been accused of:
–Front running
–Negative obligation
–Maintaining high spreads
29
What Makes a Good Market?
 NYSE, AMEX, NASDAQ, 3rd and 4th
market all compete for listings,
trades
 Four characteristics of a “good”
market:
– Liquidity (breadth and depth)
– Quick, accurate trade execution
– Reasonable listing requirements
– Low costs
30
Commissions
Commission affected by:
 Type of broker
– Full service brokers
– Discount brokers
– On-line brokers
 Size of trade, security price
 Liquidity of securities traded
 Ethics:
– Account churning
– Placing funds in high-commission or
“fee kickback” products
31
Some issuing firms allow…
 Direct investing
– Buy shares directly from the firm
 Dividend Reinvestment Plan
32
How’s the Market Doing?
 Security Market Indexes are used to
track overall market and sector
performance for stocks, bonds, and
other investments
 Well-known stock market indexes:
– Dow Jones Industrial Average
• Based on price
– Standard & Poor’s (S&P) 500
• Based on market value
33
Wandering from Home: Investing
Overseas
 Diversification benefits
 Harder to do trades
– Liquidity
– Currency differences
– Regulations, tax laws
 Solutions:
– American Depository Receipts
– Global Depository Receipts
– Mutual funds--professional investing
34
Ethics Issues
 Insider trading
 An insider: someone with access to
important non-public information
 can be a corporate officer,
investment banker, major
shareholder
 blue-collar workers, too (e.g.,
printing press operators)
35
Ethics
 Regulation FD
 Churning of accounts
 Professional designations (CFA®,
CFPTM) have ethics components as a
central feature of their certification
programs
36
What will the future hold?
 Electronic and on-line trading
 Technology linking markets together
(NYSE, Euronext merger)
 Continued globalization
37
Learning Extension 11
Introduction to Futures and Options
 What is a derivative security?
 Why do they exist?
 Future Contracts
 Options
38
What is a derivative security?
A derivative security has its value
determined by, or derived from, the
value of another investment vehicle.
They represent a contract on an
underlying security or asset
39
Why do derivatives exist?
 Shift risk from those who don’t want
to carry risk to those who are willing
to do so.
 Bring additional information into the
market from hedgers, speculators,
market expectations.
 Lower commissions and margin
requirements than in spot market
40
Futures contracts
 A futures contract obligates the
owner to purchase the underlying
asset at a specified price (the
exercise or strike price) on a
specified date
41
Types of futures contracts
 Corn, wheat, soybeans…
 Stock indexes, interest rates, foreign
currency values…
 Gold, copper, silver, oil…
 Coffee, sugar, cocoa...
42
Options
An options contract gives the owner
the choice of trading the underlying
asset at a specified price (the
exercise or strike price) on or before
a specified date or expiration date.
43
Two basic types of options
 Call option: an option to buy the
underlying asset at the strike price
 Put option: an option to sell the
underlying asset at the strike price
44
Call Options
 Suppose you buy an option to buy
100 shares of ExxonMobil stock at
$75 a share. How much is the option
worth if on the expiration date the
price of Exxon is:
 a) $60 a share? $0
 b) $75 a share? $0
 c) $80 a share? $5
45
Put Options
 Suppose you buy an option to sell
100 shares of ExxonMobil stock at
$75 a share. How much is the option
worth if on the expiration date the
price of Exxon is:
 a) $60 a share? $15
 b) $75 a share? $0
 c) $80 a share? $0
46
3. Which of the following securities is likely to be the most liquid according to this data?
Stock Bid Ask
R $39.43 $39.55
S 13.67 13.77
T 116.02 116.25
The bid-ask spread for each security, expressed in terms of dollars and percentages, is:
Stock Dollar spread Spread (% of ask price)
R $0.12 0.30%
S $0.10 0.73%
T $0.23 0.20%
Relative to the price that an eager investor will pay (the ask price), stock T has the lowest spread and is the
most liquid.
6. The Trio Index is comprised of three stocks, Eins, Zwei, and Tri. Their current prices are as follows:
a) Between now and the next time period, the stock prices of Eins and Zwei increase 10 percent while Tri
increases 20 percent. What is the percentage change in the price-weighted Trio Index?
With a 10-percent increase, Eins will rise from $10 to $11 while Zwei rises from $20 to $22. A 20-percent
change in the price of Tri has its price rising from $40 to $48:
Stock Eins Zwei Tri
Price at time t $10 $20 $40
Stock
Price at
time t
Price at
time t+1
Eins $10 $11
Zwei $20 $22
Tri $40 $48
Sum $70 $81
Price-weighted average change 15.71% =$81/$70-1
47
b) Suppose instead that the price of Eins increases 20% while Zwei and Tri rise 10 percent. What is the
percentage change in the price-weighted Trio Index? Why does it differ from the answer to part a)?
Now Ein rises in price from $10 to $12 while Tri only rises to $44:
The reason why the index percentage change differs from part a) is the highest price stock had the largest
percentage price change in part a). In part b), it was the lowest price stock that had the largest
percentage price change. The higher a stock’s price the greater its weight and influence in a price-
weighted index. Tri’s large price change was the major influence on the price-weighted index in part a);
Tri’s influence was diminished in part b.
7 . The four stocks listed in the text are part of an index.
# OF SHARES PRICE AT PRICE AT
STOCK OUTSTANDING TIME t TIME t+1
Eeny 100 10 15
Meeny 50 20 22
Miney 50 30 28
Moe 20 40 42
Using the prior information,
a. Compute a price-weighted index by adding the stocks’ prices at time t and time t + 1. What is the
percentage change in the index?
Price-weighted index
Sum of prices at time t + 1 = $15 + 22 + 28 + 42 = $107
Sum of prices at time t = $10 + 20 + 30 + 40 = $100
% change = ($107 – $100)/$100 = 7%
Stock
Price at time
t
Price at time
t+1
Eins $10 $12
Zwei $20 $22
Tri $40 $44
Sum $70 $78
Price-weighed average change 11.43% =$78/$70-1
48
b. Compute a value-weighted index by adding their market values at time t and time t+1 What is the
percentage change in the index?
Value-weighted index
Sum of market values at time t + 1 = $15(100) + 22(50) + 28(50) + 42(20) = $4,840
Sum of market values at time t = $10(100) + 20(50) + 30(50) + 40(20) = $4,300
% of change = ($4,840 – 4,300)/$4,300 = 12.56%
c. Why is there a difference between your answers to Parts a and b?
Different computation methods. The price change of higher-priced stocks have the
largest impact on Part a. The value change of the higher-value stocks have the
largest impact on Part b.
11. Below are the results of a Dutch auction for an IPO of Bagel’s Bagels, a trendy bagel and coffee shop
chain. Bagel’s is offering 50 million shares.
Bidder Bid price Number of Shares
Matthew $50.25 15 million
Kevin $49.75 20 million
Amy $49.45 20 million
Megan $49.00 10 million
a) What will be the clearing price?
Bidder Bid price Number of Shares Cumulative total of shares
Matthew $50.25 15 million 15 million
Kevin $49.75 20 million 35 million
Amy $49.45 20 million 55 million
Megan $49.00 10 million 65 million
With an offering of 50 million shares, the last shares can be sold to Amy; Amy’s bid determines the clearing
price of $49.45.
49
b) How many shares will each bidder receive if Bagel’s allocates shares on a prorata basis to all the successful
bidders?
There are bids for 55 million shares at the clearing price of $49.45. Under the prorata method, each successful
bidder will receive 50/55 of their desired number of shares. Megan received no shares as her bid was
below the clearing price.
Bidder: Bid price Number of Shares Bid Number of shares received
Matthew $50.25 15 million 13.64 million
Kevin $49.75 20 million 18.18 million
Amy $49.45 20 million 18.18 million
Megan $49.00 10 million 0
12. Determine the intrinsic values of the following call options when the stock is selling at $32 just prior to
expiration of the options.
The intrinsic value of a call option is max [0, V – X]
a. $25 call price
$7
b. $30 call price
$2
c. $35 call price
$0
13. Determine the intrinsic values of the following put options when the stock is selling at $63 just prior to
expiration of the options.
The intrinsic value for a put option is max [0, X – V]
a. $55 put price
$0
b. $65 put price
$2
c. $75 put price
$12
50
Case study #11
14. Determine the intrinsic values of the following options when the stock is selling
at $55 just prior to expiration of the options.
a. $35 call price
b. $50 call price
c. $65 call price
d. $35 put price
e. $50 put price
f. $65 put price
Chapter 12
Financial Return and Risk
Concepts
© 2014 John Wiley and Sons
Dr. Mariusz Dybał
Institute of Economic Sciences
mariusz.dybal@uwr.edu.pl
52
 Know how to compute arithmetic
averages, variances, and standard
deviations using return data for a single
financial asset.
 Understand the sources of risk
 Know how to compute expected return
and expected variance using scenario
analysis.
 Know the historical rates of return and
risk for different securities.
Chapter Outcomes
53
 Understand the concept of market efficiency and
explain the three types of efficient markets.
 Explain how to calculate the expected return on a
portfolio of securities.
 Understand how and why the combining of
securities into portfolios reduces the overall or
portfolio risk.
 Explain the difference between systematic and
unsystematic risk.
 Understand the importance of ethics in
investment-related positions.
Chapter Outcomes
54
Historical Return and Risk for a
Single Asset
 Return: periodic income and price
changes
 Dollar return = ending price –
beginning price + income
55
Historical Return and Risk for a
Single Asset
 Percentage return =
Dollar return/beginning price
 Beginning price = $33.63
Ending price = $34.31
Dividend = $0.13
Dollar return = $34.31-33.63+0.13 =$0.81
Percentage return = $0.81/$33.63 = 0.024
or 2.4 percent
56
Historical Return and Risk for a
Single Asset
 Can be daily, monthly or annual
returns
 Risk: based on deviations over time
around the average return
57
Returns for Two Stocks Over
Time
58
Arithmetic Average Return
 Look backward to see how well
we’ve done:
 Average Return (AR) =
Sum of returns
number of periods
59
An Example
YEAR STOCK A STOCK B
1 6% 20%
2 12 30
3 8 10
4 –2 –10
5 18 50
6 6 20
Sum 48 120
Sum/6 = AR= 8% 20%
60
Measuring Risk
 Deviation = Rt - AR
 Sum of Deviations (Rt - AR) = 0
 To measure risk, we need something
else…try squaring the deviations
Variance 
2
=
(Rt - AR)2
n - 1
61
Since the returns are squared:
(Rt - AR)2
The units are squared, too:
 Percent squared (%2)
 Dollars squared ($ 2)
 Hard to interpret!
62
Standard deviation
The standard deviation () helps this
problem by taking the square root of
the variance:
2



63
A’s RETURN RETURN
DIFFERENCE FROM DIFFERENCE
YR THE AVERAGE SQUARED
1 6%– 8% = –2% (–2%)2 = 4%2
2 12 – 8 = 4 (4)2 = 16
3 8 – 8 = 0 (0)2 = 0
4 –2 – 8 = –10 (–10)2 = 100
5 18– 8 = 10 (10)2 = 100
6 6 – 8 = –2 (-2)2 = 4
Sum 224%2
Sum/(6 – 1) = Variance 44.8%2
Standard deviation = 44.8 = 6.7%
64
Using Average Return and
Standard Deviation
 If the future will resemble the past and the
periodic returns are normally distributed:
 68% of the returns will fall between AR - 
and AR + 
 95% of the returns will fall between AR -
2 and AR + 2
 99% of the returns will fall between AR -
3 and AR + 3
65
For Asset A
 68% of the returns between 1.3% and
14.7%
 95% of the returns between -5.4%
and 21.4%
 99% of the returns between -12.1%
and 28.1%
66
Which of these is riskier?
Asset A Asset B
Avg. Return 8% 20%
Std. Deviation 6.7% 20%
67
Another view of risk:
Coefficient of Variation =
Standard deviation
Average return
It measures risk per unit of return
68
Which is riskier?
Asset A Asset B
Avg. Return 8% 20%
Std. Deviation 6.7% 20%
Coefficient
of Variation 0.84 1.00
69
Where Does Risk Come From:
Risk Sources in Income Statement
Revenue Business Risk
Purchasing Power Risk
Exchange Rate Risk
Less: Expenses
Equals: Operating Income
Less: Interest Expense Financial Risk
Interest Rate Risk
Equals: Earnings Before Taxes
Less: Taxes Tax Risk
Equals: Net Income
70
Measures of Expected Return
and Risk
 Looking forward to estimate future
performance
 Using historical data: ex-post
 Estimated or expected outcome:
ex-ante
71
Steps to forecasting Return, Risk
 Develop possible future scenarios:
– growth, normal, recession
 Estimate returns in each scenario:
– growth: 20%
– normal: 10%
– recession: -5%
 Estimate the probability or likelihood
of each scenario:
growth: 0.30 normal: 0.40 recession: 0.30
72
Expected Return
 E(R) =  pi
. Ri
 E(R) =
.3(20%) + .4(10%) +.3(-5%) =
8.5%
 Interpretation:
8.5% is the long-run average
outcome if the current three
scenarios could be replicated
many, many times
73
Once E(R) is found, we can
estimate risk measures:
 2 =  pi[ Ri - E(R)] 2
= .3(20 - 8.5)2 + .4(10 - 8.5)2
+ .3(-5 - 8.5)2
= 95.25 percent squared
74
 Standard deviation:
 = 95.25%2 = 9.76%
 Coefficient of Variation = 9.76/8.5
= 1.15
75
Do Investors Really do These
Calculations?
 Market anticipation of Fed’s actions
 Identify consensus; where does our
forecast differ?
 Simulation and Monte Carlo analysis
76
Historical Returns and Risk of
Different Assets
Two good investment rules to
remember:
 Risk drives expected returns
 Developed capital markets, such as
those in the U.S., are, to a large
extent, efficient markets.
77
Efficient Markets
What’s an efficient market?
 Operationally efficient versus
informationally efficient
 Many investors/traders
 News occurs randomly
 Prices adjust quickly to news on
average reflecting the impact of the
news and market expectations
78
More….
 After adjusting for risk differences,
investors cannot consistently earn
above-average returns
 Expected events don’t move prices;
only unexpected events (“surprises”)
move prices or events which differ
from the market’s consensus
79
Price Reactions in
Efficient/Inefficient Markets
Overreaction(top)
Efficient (mid)
Underreaction
(bottom)
Good news event
80
Types of Efficient Markets
 Strong-form efficient market
 Semi-strong form efficient market
 Weak-form efficient market
81
Source: Author analysis of Morningstar Principia data
82
Implications of “Efficient Markets”
 Market price changes show
corporate management the reception
of announcements by the firm
 Investors: consider indexing rather
than stock-picking
 Invest at your desired level of risk
 Diversify your investment portfolio
83
Portfolio Returns and Risk
Portfolio: a combination of
assets or investments
84
Expected Return on A Portfolio:
 E(Ri) = expected return on asset i
 wi = weight or proportion of asset i in
the portfolio
E(Rp) =  wi
. E(Ri)
85
If E(RA) = 8% and E(RB) = 20%
 More conservative portfolio:
E(Rp) = .75 (8%) + .25 (20%) = 11%
 More aggressive portfolio:
E(Rp) = .25 (8%) + .75 (20%) = 17%
86
Possibilities of Portfolio “Magic”
The risk of the portfolio may be
less than the risk of its
component assets
87
Merging 2 Assets into 1 Portfolio
Two risky assets become a low-risk portfolio
88
The Role of Correlations
 Correlation: a measure of how
returns of two assets move together
over time
 Correlation > 0; the returns tend to
move in the same direction
 Correlation < 0; the returns tend to
move in opposite directions
89
Diversification
 If correlation between two assets
(or between a portfolio and an
asset) is low or negative, the
resulting portfolio may have
lower variance than either asset.
 Splitting funds among several
investments reduces the affect
of one asset’s poor performance
on the overall portfolio
90
The Two Types of Risk
 Diversification shows there are two
types of risk:
Risk that can be diversified away
(diversifiable or unsystematic risk)
Risk that cannot be diversified away
(undiversifiable or systematic or
market risk)
91
Capital Asset Pricing Model
 Focuses on systematic or market
risk
 An asset’s risk depend upon whether
it makes the portfolio more or less
risky
 The systematic risk of an asset
determines its expected returns
92
The Market Portfolio
 Contains all assets--it represents the
“market”
 The total risk of the market portfolio
(its variance) is all systematic risk
 Unsystematic risk is diversified away
93
The Market Portfolio and Asset
Risk
 We can measure an asset’s risk
relative to the market portfolio
 Measure to see if the asset is more or
less risky than the “market”
 More risky: asset’s returns are
usually higher (lower) than the
market’s when the market rises (falls)
 Less risky: asset’s returns fluctuate
less than the market’s over time
94
Blue = market returns over time
Red = asset returns over time
More systematic risk
than market
Less systematic risk
than market
Return
Time
0%
Asset Market
Time
0%
95
Implications of the CAPM
 Expected return of an asset depends
upon its systematic risk
 Systematic risk (beta ) is measured
relative to the risk of the market
portfolio
96
Beta example:  < 1
 If an asset’s  is 0.5: the asset’s
returns are half as variable, on
average, as those of the market
portfolio
 If the market changes in value by
10%, on average this assets changes
value by 10% x 0.5 = 5%
97
 > 1
 If an asset’s  is 1.4: the asset’s
returns are 40 percent more variable,
on average, as those of the market
portfolio
 If the market changes in value by
10%, on average this assets changes
value by 10% x 1.4 = 14%
98
Sample Beta Values
accessed December 2012 from
http://finance.yahoo.com
Firm Beta
Caterpillar 1.86
Coca-Cola 0.38
General Electric 1.37
Delta Airlines 0.60
FirstEnergy 0.28
99
Learning Extension 12
Estimating Beta
 Beta is derived from the regression
line:
Ri = a + RMKT + e
100
Ways to estimate Beta
 Once data on asset and market
returns are obtained for the same
time period:
 use spreadsheet software
 statistical software
 financial/statistical calculator
 do calculations by hand
101
Sample Calculation
Estimate of beta:
n(RMKTRi) - (RMKT)(Ri)
n RMKT
2 - (RMKT)2
102
The sample calculation
Estimate of beta =
n(RMKTRi) - (RMKT )( Ri)
n RMKT
2 - (RMKT)2
6( 34.77) - (3.00)(0.20)
6(38.68) - (3.00)(3.00)
= 0.93
103
Security Market Line
 CAPM states the expected return/risk
tradeoff for an asset is given by the
Security Market Line (SML):
 E(Ri)= RFR + [E(RMKT)- RFR]i
104
An Example
 E(Ri)= RFR + [E(RMKT)- RFR]i
 If T-bill rate = 4%, expected market
return = 8%, and beta = 0.75:
 E(Rstock)= 4% + (8% - 4%)(0.75) = 7%
105
Portfolio beta
 The beta of a portfolio of assets is a
weighted average of its component
asset’s betas
 betaportfolio =  wi
. betai
106
5. RCMP, Inc. shares rose 10 percent in value last year while the inflation rate was 3.5 percent. What was the
real return on the stock? If an investor sold the stock after one year and paid taxes on the investment at a
15 percent tax rate what is the real after-tax return on the investment?
The nominal return is 10% and the inflation rate is 3.5%. The real return on RCMP’s shares is 10%- 3.5% =
6.5%.
Taking taxes into consideration, using a 15% tax rate the nominal after-tax return is 10% (1-0.15) = 8.5%.
Subtracting the inflation rate, the real after-tax return is 8.5% - 3.5% = 5.0%.
6. Find the real return on the following investments:
The real return is computed as nominal return – inflation rate as follows:
Stock A: 10% - 3% = 7%
Stock B: 15% - 8% = 7%
Stock C: -5% - 3% = -8%
7. Find the real return, nominal after-tax return, and real after-tax return on the following:
Real return is nominal return minus the inflation rate:
Stock X: 13.5% - 5% = 8.5%
Stock Y: 8.7% - 4.7% = 4.0%
Stock Z: 5.2% - 2.5% = 2.7%
Nominal after-tax return is nominal return (1-tax rate):
Stock X: 13.5% (1- 0.15) = 11.48%
Stock Y: 8.7% (1- 0.25) = 6.53%
Stock Z: 5.2% (1-0.28) = 3.74%
The real after-tax return is the nominal after-tax return minus the inflation rate:
Stock X: 11.48% - 5% = 6.48%
Stock Y: 6.53% - 4.7% = 1.83%
Stock Z: 3.74% - 2.5% = 1.24%
Stock Nominal Return Inflation
A 10% 3%
B 15% 8%
C -5% 2%
Stock Nominal Return Inflation Tax Rate
X 13.5% 5% 15%
Y 8.7% 4.7% 25%
Z 5.2% 2.5% 28%
107
9. Using the information below, compute the percentage returns for the following securities:
12. Ima’s sister, Uma, has completed her own analysis of the economy and Wallnut’s stocks. Uma used
recession, constant growth and inflation scenarios but with different probabilities and expected stock
returns. Uma believes the probability of recession is quite high, at 60 percent and that in a recession
Wallnut’s stock return will -20 percent. Uma believes the scenarios of constant growth and inflation are
equally likely and that Wallnut’s returns will be 15 percent in the constant growth scenario and 10 percent
under the inflation scenario.
a) What is Uma’s expected return forecast for Wallnut stock?
b) What is the standard deviation of the forecast?
c) If Wallnut’s current price is $20 a share and is expected to pay a dividend of $0.80 a share next year, what
price does Uma expect Wallnut to sell for in one year?
With the probability of recession set at 60 percent, the probability of not having a recession is 1-0.60 or 0.40.
As the probability of the constant growth and inflation scenarios are equally likely, there probabilities are
0.40/2 or 0.20 (20%) each. Using these probabilities we have:
c) The return is computed as the (change in price + income)/beginning price. If the expected return is -7.00%
(or -0.07 in decimal form) we have:
(Expected price - $20) + 0.80 = -0.07
$20
or (Expected price - $20) + 0.80 = -0.07 ($20) = -$1.40
= Expected price - $19.20 = -$1.40
Solving, we see the expected price = $17.80.
Price today
Price one
year ago
Dividends
received
Interest
received
Dollar Return=
change in price
+ income
Percentage Return=Dollar
return/initial price
a) RoadRunner stock $20.05 $18.67 $0.50 $1.88 10.07%
b)Wiley Coyote stock $33.42 45.79 $1.10 -$11.27 -24.61%
c)Acme long-term bonds $1,015.38 $991.78 $100.00 $123.60 12.46%
d) Acme short-term bonds $996.63 $989.84 $45.75 $52.54 5.31%
e) Xlingshot stock $5.43 $3.45 $0.02 $2.00 57.97%
Scenario Probability Wallnut return
Recession 60% -20%
Constant growth 20% 15%
Inflation 20% 10%
a) Expected return -7.00% = 60% (-20%) + 20%(15%) + 20% (10%)
Variance 256.00% = 60% (-20%-(-7%))^2 + 20%(15%-(-7%))^2 + 20% (10%-(-7%))^2
b) Standard Deviation 16.00%
108
15. Below is annual stock return data on Hollenbeck Corp and Luzzi Edit, Inc.
Year Hollenbeck Luzzi Edit
2010 10% -3%
2011 15% 0%
2012 -10% 15%
2013 5% 10%
a. What is the average return, variance, and standard deviation for each stock?
Average return = (Sum of returns)/n
Hollenbeck Corp: 20/4 = 5.0%
Luzzi Edit: 22/4 = 5.5%
Variance = ∑ (Ri – Average)2/ (n – 1)
Hollenbeck Corp = 350/(4 – 1) = 116.67%2
Luzzi Edit= 213/(4 – 1) = 71.0%2
Standard deviation
Hollenbeck Corp = √116.67= 10.80%
Luzzi Edit = √ 71.0= 8.43%
b. What is the expected portfolio return on a portfolio comprised of
i. 25% Hollenbeck Corp and 75% Luzzi Edit?
ii. 50% Hollenbeck Corp and 50% Luzzi Edit?
iii. 75% Hollenbeck Corp and 25% Luzzi Edit?
E(portfolio return) = .25(5%) + .75(5.5%) = 5.375%
E(portfolio return) = .5(5%) + .5(5.5%) = 5.25%
E(portfolio return) = .75(5%) + .25(5.5%) = 5.125%
c. Without doing any calculations, would you expect the correlation between the returns on
Hollenbeck Corp and Luzzi Edit's stock to be positive, negative, or zero? Why?
Probably negative, as the changes in returns from year-to-year moved in opposite directions in two of the
three years (2010-2011: return rose for both Hollenbeck Corp and Luzzi Edit; 2011-2012: return fell for
Hollenbeck Corp, rose for Luzzi Edit; 2012-2013: return rose for Hollenbeck Corp, fell for Luzzi Edit).
109
Case study #12
16. Below is annual stock return data on AAB Company and YYZ, Inc.
Year AAB YYZ
2009 0% 5%
2010 5% 10%
2011 10% 15%
2012 15% 20%
2013 -10% -20%
a. What is the average return, variance, and standard deviation for each stock?
b. What is the expected portfolio return on a portfolio comprised of
i. 25% AAB and 75% YYZ?
ii. 50% AAB and 50% YYZ?
iii. 75% AAB and 25% YYZ?
c. Without doing any calculations, would you expect the correlation between the
returns on AAB and YYZ's stock to be positive, negative, or zero? Why?

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ITF_6_.ppt

  • 1. Chapter 11 Securities Markets © 2014 John Wiley and Sons Dr. Mariusz Dybał Institute of Economic Sciences mariusz.dybal@uwr.edu.pl
  • 2. 2 Chapter Outcomes  Describe the processes and institutions used by businesses to distribute new securities to the investing public.  Outline the recent difficulties and changes in structure of the investment banking industry.  Describe how securities are traded among investors.  Identify the regulatory mechanisms by which the securities exchanges and the over-the-counter markets are controlled.  Explain influences that affect broker commissions.
  • 3. 3 Issuing Securities: Primary Security Markets  Primary versus secondary securities markets  Initial Public Offerings (IPOs)  Investment Banks
  • 4. 4 Functions of Investments Banks  Three Main Functions: – Origination – Underwriting – Selling  Origination – Public Offering – Private Placement – Prospectus
  • 5. 5 Investment Bank Functions, continued  Underwriting – “Carrying the risk” – Best efforts – Shelf registration – Private placement – Rights offerings – Competitive bids – Dutch auction
  • 6. 6 Dutch Auction Example  Yoogle to offer 100 million shares  Bidder Price Number of shares A $20.50 25 million B $20.47 25 million C $20.45 25 million D $20.43 25 million E $20.40 25 million  Clearing price: $20.43
  • 7. 7 Investment Bank Functions, continued  Selling – Syndicate – Tombstone Ad – Aftermarket  Underwriting fees in 2012: $60 billion
  • 8. 8 The Costs of Raising Capital  The costs of issuing stocks and bonds are called “flotation costs.” – Out-of-pocket costs – Spread – Underpricing  The sum of these costs can total 20- 30% or more of the funds raised  Hot/cold IPO markets
  • 9. 9 Innovations in Investment Banking  Security design to meet needs of issuers/purchases  Offering securities via internet “dutch auctions”—both stocks and bonds (Internotes, Direct Access Notes)
  • 10. Facebook IPO  Syndicate: Morgan Stanley (lead) and 32 other investment banking firms  Offer price: $38 per share – Firm value at offer price: $104 billion – Underwriting fees: $176 million – Underwriters, firm agreed to raise offer price to $38 and increase number of shares to be sold shortly before the IPO 10
  • 11. Facebook IPO  Initial ‘pop’ at IPO…followed by price decline – Computer and trading issues at Nasdaq – Disappointing sales, profit news; GM pullout – Research analysts were reducing profit estimates for FB – Tough market—Groupon, Yelp, and Zynga hi-tech IPOs followed by price declines 11
  • 13. 13 What else do Investment Banks do?  Commercial paper  Mergers and acquisitions  Manage investment funds (e.g., company pension funds)
  • 14. 14 Investment Banking Regulations  Securities Act of 1933 – Full, fair, and accurate disclosure – Prevent fraud  Securities Exchange Act of 1934 – Established SEC – Brokers, dealers register with SEC  State “blue sky” laws
  • 15. 15 Investment Banking Regulations  Glass-Steagall Act – Commercial banks cannot underwrite securities  Gramm-Leach-Bliley Act – Removed many restraints of Glass- Steagall on financial services firms
  • 16. 16 Trading Securities: Secondary Securities Markets  Organized Exchange versus Over-the- Counter (OTC)  Organized Exchange: NYSE  NYSE is a private firm which went “public” in 2006 by acquiring a publicly traded firm (Archipelago) which offers electronic trading of securities
  • 17. 17 Structure of the NYSE  Before 2006: members own “seats”  Now: 1500 trading licenses exist— called Stock Exchange Auction Trading System (SEATS)  SEATS allow holders access to the NYSE trading floor (physical location) and electronic trading access.
  • 18. 18 Structure of the NYSE  Floor brokers – House or commission brokers – Independent brokers  Registered traders  Designated Market Makers – Maintain inventory of stocks assigned to them – Maintain a liquid and orderly market – Took over the role of “specialists” on the NYSE
  • 19. 19 Structure of the NYSE  Companies need to meet listing requirements, pay fees  Original listing fee: $125,000- $250,000  Annual fee: $42,000-$500,000 depending on number of shares  Listing requirements: http://usequities.nyx.com/regulation/listed-companies- compliance/listings-standards/us
  • 20. 20 Security Transactions  Bid price: offered by buyer  Ask: requested by seller  Spread: the difference between them – Narrower spreads imply more liquidity and faster completion of a trade  Typical display: – Bid: 30.42 x 50900 – Ask: 30.43 x 50800
  • 21. 21 Security Transactions  Market order  Limit order  Stop order  Short sale – Uptick rule – 19.95 19.95 20.00 20.00 – 20.07 20.01 20.01 – Abolished in 2007, on a trial basis; occasionally consider re-instating it for all or some stocks.
  • 22. 22 Buying on Margin  “Buying on margin” means to use some of your money (equity) and some borrowed funds to purchase a security  Margin: investor’s equity position  Margin requirements: minimum percentage of the purchase price that the investor must pay from his/her funds
  • 23. 23 Margin’s effect on trading profits Assume: 60% margin Initially buy securities worth $50,000 Initial position t=1 t=2 Mkt value $50,000 $55,000 $45,000 Less: borrowed funds 20,000 20,000 20,000 Equity $30,000 $35,000 $25,000
  • 24. 24 More investing terms  Margin call  Maintenance margin Margin = equity/market value = (MV - $ borrowed)/MV = (price x # shares - $ borrowed) price x # shares Price for margin call: $ borrowed/[# shares (1-maint. margin)]
  • 25. 25 More terms…  Round lot  Odd lot  Program trading
  • 26. 26 Over-The-Counter Market (OTC)  NASDAQ  Not just for small firms – Intel, Apple, Microsoft  Centralized versus non-centralized location  Specialists versus dealers
  • 27. 27 Other Secondary Markets  Third Market – Large blocks (10,000 shares) traded OTC  Fourth Market – Electronic trading, ECNs
  • 28. 28 Securities Markets and Ethics Issues  In the past, some market makers and specialists have been accused of: –Front running –Negative obligation –Maintaining high spreads
  • 29. 29 What Makes a Good Market?  NYSE, AMEX, NASDAQ, 3rd and 4th market all compete for listings, trades  Four characteristics of a “good” market: – Liquidity (breadth and depth) – Quick, accurate trade execution – Reasonable listing requirements – Low costs
  • 30. 30 Commissions Commission affected by:  Type of broker – Full service brokers – Discount brokers – On-line brokers  Size of trade, security price  Liquidity of securities traded  Ethics: – Account churning – Placing funds in high-commission or “fee kickback” products
  • 31. 31 Some issuing firms allow…  Direct investing – Buy shares directly from the firm  Dividend Reinvestment Plan
  • 32. 32 How’s the Market Doing?  Security Market Indexes are used to track overall market and sector performance for stocks, bonds, and other investments  Well-known stock market indexes: – Dow Jones Industrial Average • Based on price – Standard & Poor’s (S&P) 500 • Based on market value
  • 33. 33 Wandering from Home: Investing Overseas  Diversification benefits  Harder to do trades – Liquidity – Currency differences – Regulations, tax laws  Solutions: – American Depository Receipts – Global Depository Receipts – Mutual funds--professional investing
  • 34. 34 Ethics Issues  Insider trading  An insider: someone with access to important non-public information  can be a corporate officer, investment banker, major shareholder  blue-collar workers, too (e.g., printing press operators)
  • 35. 35 Ethics  Regulation FD  Churning of accounts  Professional designations (CFA®, CFPTM) have ethics components as a central feature of their certification programs
  • 36. 36 What will the future hold?  Electronic and on-line trading  Technology linking markets together (NYSE, Euronext merger)  Continued globalization
  • 37. 37 Learning Extension 11 Introduction to Futures and Options  What is a derivative security?  Why do they exist?  Future Contracts  Options
  • 38. 38 What is a derivative security? A derivative security has its value determined by, or derived from, the value of another investment vehicle. They represent a contract on an underlying security or asset
  • 39. 39 Why do derivatives exist?  Shift risk from those who don’t want to carry risk to those who are willing to do so.  Bring additional information into the market from hedgers, speculators, market expectations.  Lower commissions and margin requirements than in spot market
  • 40. 40 Futures contracts  A futures contract obligates the owner to purchase the underlying asset at a specified price (the exercise or strike price) on a specified date
  • 41. 41 Types of futures contracts  Corn, wheat, soybeans…  Stock indexes, interest rates, foreign currency values…  Gold, copper, silver, oil…  Coffee, sugar, cocoa...
  • 42. 42 Options An options contract gives the owner the choice of trading the underlying asset at a specified price (the exercise or strike price) on or before a specified date or expiration date.
  • 43. 43 Two basic types of options  Call option: an option to buy the underlying asset at the strike price  Put option: an option to sell the underlying asset at the strike price
  • 44. 44 Call Options  Suppose you buy an option to buy 100 shares of ExxonMobil stock at $75 a share. How much is the option worth if on the expiration date the price of Exxon is:  a) $60 a share? $0  b) $75 a share? $0  c) $80 a share? $5
  • 45. 45 Put Options  Suppose you buy an option to sell 100 shares of ExxonMobil stock at $75 a share. How much is the option worth if on the expiration date the price of Exxon is:  a) $60 a share? $15  b) $75 a share? $0  c) $80 a share? $0
  • 46. 46 3. Which of the following securities is likely to be the most liquid according to this data? Stock Bid Ask R $39.43 $39.55 S 13.67 13.77 T 116.02 116.25 The bid-ask spread for each security, expressed in terms of dollars and percentages, is: Stock Dollar spread Spread (% of ask price) R $0.12 0.30% S $0.10 0.73% T $0.23 0.20% Relative to the price that an eager investor will pay (the ask price), stock T has the lowest spread and is the most liquid. 6. The Trio Index is comprised of three stocks, Eins, Zwei, and Tri. Their current prices are as follows: a) Between now and the next time period, the stock prices of Eins and Zwei increase 10 percent while Tri increases 20 percent. What is the percentage change in the price-weighted Trio Index? With a 10-percent increase, Eins will rise from $10 to $11 while Zwei rises from $20 to $22. A 20-percent change in the price of Tri has its price rising from $40 to $48: Stock Eins Zwei Tri Price at time t $10 $20 $40 Stock Price at time t Price at time t+1 Eins $10 $11 Zwei $20 $22 Tri $40 $48 Sum $70 $81 Price-weighted average change 15.71% =$81/$70-1
  • 47. 47 b) Suppose instead that the price of Eins increases 20% while Zwei and Tri rise 10 percent. What is the percentage change in the price-weighted Trio Index? Why does it differ from the answer to part a)? Now Ein rises in price from $10 to $12 while Tri only rises to $44: The reason why the index percentage change differs from part a) is the highest price stock had the largest percentage price change in part a). In part b), it was the lowest price stock that had the largest percentage price change. The higher a stock’s price the greater its weight and influence in a price- weighted index. Tri’s large price change was the major influence on the price-weighted index in part a); Tri’s influence was diminished in part b. 7 . The four stocks listed in the text are part of an index. # OF SHARES PRICE AT PRICE AT STOCK OUTSTANDING TIME t TIME t+1 Eeny 100 10 15 Meeny 50 20 22 Miney 50 30 28 Moe 20 40 42 Using the prior information, a. Compute a price-weighted index by adding the stocks’ prices at time t and time t + 1. What is the percentage change in the index? Price-weighted index Sum of prices at time t + 1 = $15 + 22 + 28 + 42 = $107 Sum of prices at time t = $10 + 20 + 30 + 40 = $100 % change = ($107 – $100)/$100 = 7% Stock Price at time t Price at time t+1 Eins $10 $12 Zwei $20 $22 Tri $40 $44 Sum $70 $78 Price-weighed average change 11.43% =$78/$70-1
  • 48. 48 b. Compute a value-weighted index by adding their market values at time t and time t+1 What is the percentage change in the index? Value-weighted index Sum of market values at time t + 1 = $15(100) + 22(50) + 28(50) + 42(20) = $4,840 Sum of market values at time t = $10(100) + 20(50) + 30(50) + 40(20) = $4,300 % of change = ($4,840 – 4,300)/$4,300 = 12.56% c. Why is there a difference between your answers to Parts a and b? Different computation methods. The price change of higher-priced stocks have the largest impact on Part a. The value change of the higher-value stocks have the largest impact on Part b. 11. Below are the results of a Dutch auction for an IPO of Bagel’s Bagels, a trendy bagel and coffee shop chain. Bagel’s is offering 50 million shares. Bidder Bid price Number of Shares Matthew $50.25 15 million Kevin $49.75 20 million Amy $49.45 20 million Megan $49.00 10 million a) What will be the clearing price? Bidder Bid price Number of Shares Cumulative total of shares Matthew $50.25 15 million 15 million Kevin $49.75 20 million 35 million Amy $49.45 20 million 55 million Megan $49.00 10 million 65 million With an offering of 50 million shares, the last shares can be sold to Amy; Amy’s bid determines the clearing price of $49.45.
  • 49. 49 b) How many shares will each bidder receive if Bagel’s allocates shares on a prorata basis to all the successful bidders? There are bids for 55 million shares at the clearing price of $49.45. Under the prorata method, each successful bidder will receive 50/55 of their desired number of shares. Megan received no shares as her bid was below the clearing price. Bidder: Bid price Number of Shares Bid Number of shares received Matthew $50.25 15 million 13.64 million Kevin $49.75 20 million 18.18 million Amy $49.45 20 million 18.18 million Megan $49.00 10 million 0 12. Determine the intrinsic values of the following call options when the stock is selling at $32 just prior to expiration of the options. The intrinsic value of a call option is max [0, V – X] a. $25 call price $7 b. $30 call price $2 c. $35 call price $0 13. Determine the intrinsic values of the following put options when the stock is selling at $63 just prior to expiration of the options. The intrinsic value for a put option is max [0, X – V] a. $55 put price $0 b. $65 put price $2 c. $75 put price $12
  • 50. 50 Case study #11 14. Determine the intrinsic values of the following options when the stock is selling at $55 just prior to expiration of the options. a. $35 call price b. $50 call price c. $65 call price d. $35 put price e. $50 put price f. $65 put price
  • 51. Chapter 12 Financial Return and Risk Concepts © 2014 John Wiley and Sons Dr. Mariusz Dybał Institute of Economic Sciences mariusz.dybal@uwr.edu.pl
  • 52. 52  Know how to compute arithmetic averages, variances, and standard deviations using return data for a single financial asset.  Understand the sources of risk  Know how to compute expected return and expected variance using scenario analysis.  Know the historical rates of return and risk for different securities. Chapter Outcomes
  • 53. 53  Understand the concept of market efficiency and explain the three types of efficient markets.  Explain how to calculate the expected return on a portfolio of securities.  Understand how and why the combining of securities into portfolios reduces the overall or portfolio risk.  Explain the difference between systematic and unsystematic risk.  Understand the importance of ethics in investment-related positions. Chapter Outcomes
  • 54. 54 Historical Return and Risk for a Single Asset  Return: periodic income and price changes  Dollar return = ending price – beginning price + income
  • 55. 55 Historical Return and Risk for a Single Asset  Percentage return = Dollar return/beginning price  Beginning price = $33.63 Ending price = $34.31 Dividend = $0.13 Dollar return = $34.31-33.63+0.13 =$0.81 Percentage return = $0.81/$33.63 = 0.024 or 2.4 percent
  • 56. 56 Historical Return and Risk for a Single Asset  Can be daily, monthly or annual returns  Risk: based on deviations over time around the average return
  • 57. 57 Returns for Two Stocks Over Time
  • 58. 58 Arithmetic Average Return  Look backward to see how well we’ve done:  Average Return (AR) = Sum of returns number of periods
  • 59. 59 An Example YEAR STOCK A STOCK B 1 6% 20% 2 12 30 3 8 10 4 –2 –10 5 18 50 6 6 20 Sum 48 120 Sum/6 = AR= 8% 20%
  • 60. 60 Measuring Risk  Deviation = Rt - AR  Sum of Deviations (Rt - AR) = 0  To measure risk, we need something else…try squaring the deviations Variance  2 = (Rt - AR)2 n - 1
  • 61. 61 Since the returns are squared: (Rt - AR)2 The units are squared, too:  Percent squared (%2)  Dollars squared ($ 2)  Hard to interpret!
  • 62. 62 Standard deviation The standard deviation () helps this problem by taking the square root of the variance: 2   
  • 63. 63 A’s RETURN RETURN DIFFERENCE FROM DIFFERENCE YR THE AVERAGE SQUARED 1 6%– 8% = –2% (–2%)2 = 4%2 2 12 – 8 = 4 (4)2 = 16 3 8 – 8 = 0 (0)2 = 0 4 –2 – 8 = –10 (–10)2 = 100 5 18– 8 = 10 (10)2 = 100 6 6 – 8 = –2 (-2)2 = 4 Sum 224%2 Sum/(6 – 1) = Variance 44.8%2 Standard deviation = 44.8 = 6.7%
  • 64. 64 Using Average Return and Standard Deviation  If the future will resemble the past and the periodic returns are normally distributed:  68% of the returns will fall between AR -  and AR +   95% of the returns will fall between AR - 2 and AR + 2  99% of the returns will fall between AR - 3 and AR + 3
  • 65. 65 For Asset A  68% of the returns between 1.3% and 14.7%  95% of the returns between -5.4% and 21.4%  99% of the returns between -12.1% and 28.1%
  • 66. 66 Which of these is riskier? Asset A Asset B Avg. Return 8% 20% Std. Deviation 6.7% 20%
  • 67. 67 Another view of risk: Coefficient of Variation = Standard deviation Average return It measures risk per unit of return
  • 68. 68 Which is riskier? Asset A Asset B Avg. Return 8% 20% Std. Deviation 6.7% 20% Coefficient of Variation 0.84 1.00
  • 69. 69 Where Does Risk Come From: Risk Sources in Income Statement Revenue Business Risk Purchasing Power Risk Exchange Rate Risk Less: Expenses Equals: Operating Income Less: Interest Expense Financial Risk Interest Rate Risk Equals: Earnings Before Taxes Less: Taxes Tax Risk Equals: Net Income
  • 70. 70 Measures of Expected Return and Risk  Looking forward to estimate future performance  Using historical data: ex-post  Estimated or expected outcome: ex-ante
  • 71. 71 Steps to forecasting Return, Risk  Develop possible future scenarios: – growth, normal, recession  Estimate returns in each scenario: – growth: 20% – normal: 10% – recession: -5%  Estimate the probability or likelihood of each scenario: growth: 0.30 normal: 0.40 recession: 0.30
  • 72. 72 Expected Return  E(R) =  pi . Ri  E(R) = .3(20%) + .4(10%) +.3(-5%) = 8.5%  Interpretation: 8.5% is the long-run average outcome if the current three scenarios could be replicated many, many times
  • 73. 73 Once E(R) is found, we can estimate risk measures:  2 =  pi[ Ri - E(R)] 2 = .3(20 - 8.5)2 + .4(10 - 8.5)2 + .3(-5 - 8.5)2 = 95.25 percent squared
  • 74. 74  Standard deviation:  = 95.25%2 = 9.76%  Coefficient of Variation = 9.76/8.5 = 1.15
  • 75. 75 Do Investors Really do These Calculations?  Market anticipation of Fed’s actions  Identify consensus; where does our forecast differ?  Simulation and Monte Carlo analysis
  • 76. 76 Historical Returns and Risk of Different Assets Two good investment rules to remember:  Risk drives expected returns  Developed capital markets, such as those in the U.S., are, to a large extent, efficient markets.
  • 77. 77 Efficient Markets What’s an efficient market?  Operationally efficient versus informationally efficient  Many investors/traders  News occurs randomly  Prices adjust quickly to news on average reflecting the impact of the news and market expectations
  • 78. 78 More….  After adjusting for risk differences, investors cannot consistently earn above-average returns  Expected events don’t move prices; only unexpected events (“surprises”) move prices or events which differ from the market’s consensus
  • 79. 79 Price Reactions in Efficient/Inefficient Markets Overreaction(top) Efficient (mid) Underreaction (bottom) Good news event
  • 80. 80 Types of Efficient Markets  Strong-form efficient market  Semi-strong form efficient market  Weak-form efficient market
  • 81. 81 Source: Author analysis of Morningstar Principia data
  • 82. 82 Implications of “Efficient Markets”  Market price changes show corporate management the reception of announcements by the firm  Investors: consider indexing rather than stock-picking  Invest at your desired level of risk  Diversify your investment portfolio
  • 83. 83 Portfolio Returns and Risk Portfolio: a combination of assets or investments
  • 84. 84 Expected Return on A Portfolio:  E(Ri) = expected return on asset i  wi = weight or proportion of asset i in the portfolio E(Rp) =  wi . E(Ri)
  • 85. 85 If E(RA) = 8% and E(RB) = 20%  More conservative portfolio: E(Rp) = .75 (8%) + .25 (20%) = 11%  More aggressive portfolio: E(Rp) = .25 (8%) + .75 (20%) = 17%
  • 86. 86 Possibilities of Portfolio “Magic” The risk of the portfolio may be less than the risk of its component assets
  • 87. 87 Merging 2 Assets into 1 Portfolio Two risky assets become a low-risk portfolio
  • 88. 88 The Role of Correlations  Correlation: a measure of how returns of two assets move together over time  Correlation > 0; the returns tend to move in the same direction  Correlation < 0; the returns tend to move in opposite directions
  • 89. 89 Diversification  If correlation between two assets (or between a portfolio and an asset) is low or negative, the resulting portfolio may have lower variance than either asset.  Splitting funds among several investments reduces the affect of one asset’s poor performance on the overall portfolio
  • 90. 90 The Two Types of Risk  Diversification shows there are two types of risk: Risk that can be diversified away (diversifiable or unsystematic risk) Risk that cannot be diversified away (undiversifiable or systematic or market risk)
  • 91. 91 Capital Asset Pricing Model  Focuses on systematic or market risk  An asset’s risk depend upon whether it makes the portfolio more or less risky  The systematic risk of an asset determines its expected returns
  • 92. 92 The Market Portfolio  Contains all assets--it represents the “market”  The total risk of the market portfolio (its variance) is all systematic risk  Unsystematic risk is diversified away
  • 93. 93 The Market Portfolio and Asset Risk  We can measure an asset’s risk relative to the market portfolio  Measure to see if the asset is more or less risky than the “market”  More risky: asset’s returns are usually higher (lower) than the market’s when the market rises (falls)  Less risky: asset’s returns fluctuate less than the market’s over time
  • 94. 94 Blue = market returns over time Red = asset returns over time More systematic risk than market Less systematic risk than market Return Time 0% Asset Market Time 0%
  • 95. 95 Implications of the CAPM  Expected return of an asset depends upon its systematic risk  Systematic risk (beta ) is measured relative to the risk of the market portfolio
  • 96. 96 Beta example:  < 1  If an asset’s  is 0.5: the asset’s returns are half as variable, on average, as those of the market portfolio  If the market changes in value by 10%, on average this assets changes value by 10% x 0.5 = 5%
  • 97. 97  > 1  If an asset’s  is 1.4: the asset’s returns are 40 percent more variable, on average, as those of the market portfolio  If the market changes in value by 10%, on average this assets changes value by 10% x 1.4 = 14%
  • 98. 98 Sample Beta Values accessed December 2012 from http://finance.yahoo.com Firm Beta Caterpillar 1.86 Coca-Cola 0.38 General Electric 1.37 Delta Airlines 0.60 FirstEnergy 0.28
  • 99. 99 Learning Extension 12 Estimating Beta  Beta is derived from the regression line: Ri = a + RMKT + e
  • 100. 100 Ways to estimate Beta  Once data on asset and market returns are obtained for the same time period:  use spreadsheet software  statistical software  financial/statistical calculator  do calculations by hand
  • 101. 101 Sample Calculation Estimate of beta: n(RMKTRi) - (RMKT)(Ri) n RMKT 2 - (RMKT)2
  • 102. 102 The sample calculation Estimate of beta = n(RMKTRi) - (RMKT )( Ri) n RMKT 2 - (RMKT)2 6( 34.77) - (3.00)(0.20) 6(38.68) - (3.00)(3.00) = 0.93
  • 103. 103 Security Market Line  CAPM states the expected return/risk tradeoff for an asset is given by the Security Market Line (SML):  E(Ri)= RFR + [E(RMKT)- RFR]i
  • 104. 104 An Example  E(Ri)= RFR + [E(RMKT)- RFR]i  If T-bill rate = 4%, expected market return = 8%, and beta = 0.75:  E(Rstock)= 4% + (8% - 4%)(0.75) = 7%
  • 105. 105 Portfolio beta  The beta of a portfolio of assets is a weighted average of its component asset’s betas  betaportfolio =  wi . betai
  • 106. 106 5. RCMP, Inc. shares rose 10 percent in value last year while the inflation rate was 3.5 percent. What was the real return on the stock? If an investor sold the stock after one year and paid taxes on the investment at a 15 percent tax rate what is the real after-tax return on the investment? The nominal return is 10% and the inflation rate is 3.5%. The real return on RCMP’s shares is 10%- 3.5% = 6.5%. Taking taxes into consideration, using a 15% tax rate the nominal after-tax return is 10% (1-0.15) = 8.5%. Subtracting the inflation rate, the real after-tax return is 8.5% - 3.5% = 5.0%. 6. Find the real return on the following investments: The real return is computed as nominal return – inflation rate as follows: Stock A: 10% - 3% = 7% Stock B: 15% - 8% = 7% Stock C: -5% - 3% = -8% 7. Find the real return, nominal after-tax return, and real after-tax return on the following: Real return is nominal return minus the inflation rate: Stock X: 13.5% - 5% = 8.5% Stock Y: 8.7% - 4.7% = 4.0% Stock Z: 5.2% - 2.5% = 2.7% Nominal after-tax return is nominal return (1-tax rate): Stock X: 13.5% (1- 0.15) = 11.48% Stock Y: 8.7% (1- 0.25) = 6.53% Stock Z: 5.2% (1-0.28) = 3.74% The real after-tax return is the nominal after-tax return minus the inflation rate: Stock X: 11.48% - 5% = 6.48% Stock Y: 6.53% - 4.7% = 1.83% Stock Z: 3.74% - 2.5% = 1.24% Stock Nominal Return Inflation A 10% 3% B 15% 8% C -5% 2% Stock Nominal Return Inflation Tax Rate X 13.5% 5% 15% Y 8.7% 4.7% 25% Z 5.2% 2.5% 28%
  • 107. 107 9. Using the information below, compute the percentage returns for the following securities: 12. Ima’s sister, Uma, has completed her own analysis of the economy and Wallnut’s stocks. Uma used recession, constant growth and inflation scenarios but with different probabilities and expected stock returns. Uma believes the probability of recession is quite high, at 60 percent and that in a recession Wallnut’s stock return will -20 percent. Uma believes the scenarios of constant growth and inflation are equally likely and that Wallnut’s returns will be 15 percent in the constant growth scenario and 10 percent under the inflation scenario. a) What is Uma’s expected return forecast for Wallnut stock? b) What is the standard deviation of the forecast? c) If Wallnut’s current price is $20 a share and is expected to pay a dividend of $0.80 a share next year, what price does Uma expect Wallnut to sell for in one year? With the probability of recession set at 60 percent, the probability of not having a recession is 1-0.60 or 0.40. As the probability of the constant growth and inflation scenarios are equally likely, there probabilities are 0.40/2 or 0.20 (20%) each. Using these probabilities we have: c) The return is computed as the (change in price + income)/beginning price. If the expected return is -7.00% (or -0.07 in decimal form) we have: (Expected price - $20) + 0.80 = -0.07 $20 or (Expected price - $20) + 0.80 = -0.07 ($20) = -$1.40 = Expected price - $19.20 = -$1.40 Solving, we see the expected price = $17.80. Price today Price one year ago Dividends received Interest received Dollar Return= change in price + income Percentage Return=Dollar return/initial price a) RoadRunner stock $20.05 $18.67 $0.50 $1.88 10.07% b)Wiley Coyote stock $33.42 45.79 $1.10 -$11.27 -24.61% c)Acme long-term bonds $1,015.38 $991.78 $100.00 $123.60 12.46% d) Acme short-term bonds $996.63 $989.84 $45.75 $52.54 5.31% e) Xlingshot stock $5.43 $3.45 $0.02 $2.00 57.97% Scenario Probability Wallnut return Recession 60% -20% Constant growth 20% 15% Inflation 20% 10% a) Expected return -7.00% = 60% (-20%) + 20%(15%) + 20% (10%) Variance 256.00% = 60% (-20%-(-7%))^2 + 20%(15%-(-7%))^2 + 20% (10%-(-7%))^2 b) Standard Deviation 16.00%
  • 108. 108 15. Below is annual stock return data on Hollenbeck Corp and Luzzi Edit, Inc. Year Hollenbeck Luzzi Edit 2010 10% -3% 2011 15% 0% 2012 -10% 15% 2013 5% 10% a. What is the average return, variance, and standard deviation for each stock? Average return = (Sum of returns)/n Hollenbeck Corp: 20/4 = 5.0% Luzzi Edit: 22/4 = 5.5% Variance = ∑ (Ri – Average)2/ (n – 1) Hollenbeck Corp = 350/(4 – 1) = 116.67%2 Luzzi Edit= 213/(4 – 1) = 71.0%2 Standard deviation Hollenbeck Corp = √116.67= 10.80% Luzzi Edit = √ 71.0= 8.43% b. What is the expected portfolio return on a portfolio comprised of i. 25% Hollenbeck Corp and 75% Luzzi Edit? ii. 50% Hollenbeck Corp and 50% Luzzi Edit? iii. 75% Hollenbeck Corp and 25% Luzzi Edit? E(portfolio return) = .25(5%) + .75(5.5%) = 5.375% E(portfolio return) = .5(5%) + .5(5.5%) = 5.25% E(portfolio return) = .75(5%) + .25(5.5%) = 5.125% c. Without doing any calculations, would you expect the correlation between the returns on Hollenbeck Corp and Luzzi Edit's stock to be positive, negative, or zero? Why? Probably negative, as the changes in returns from year-to-year moved in opposite directions in two of the three years (2010-2011: return rose for both Hollenbeck Corp and Luzzi Edit; 2011-2012: return fell for Hollenbeck Corp, rose for Luzzi Edit; 2012-2013: return rose for Hollenbeck Corp, fell for Luzzi Edit).
  • 109. 109 Case study #12 16. Below is annual stock return data on AAB Company and YYZ, Inc. Year AAB YYZ 2009 0% 5% 2010 5% 10% 2011 10% 15% 2012 15% 20% 2013 -10% -20% a. What is the average return, variance, and standard deviation for each stock? b. What is the expected portfolio return on a portfolio comprised of i. 25% AAB and 75% YYZ? ii. 50% AAB and 50% YYZ? iii. 75% AAB and 25% YYZ? c. Without doing any calculations, would you expect the correlation between the returns on AAB and YYZ's stock to be positive, negative, or zero? Why?