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Transcript
CHAPTER 14: CORPORATE FINANCING DECISIONS AND
MARKET EFFICIENCY
Topics:
• 14.1
Differences between investment and financing
decisions
• 14.2
What is market efficiency?
• 14.3
Types of market efficiency
• 14.4, 14.6 Empirical evidence
• 14.8
Implications and lessons of market efficiency
1
Background
• Till now you learned how to spend money - the capital
budgeting decision - the left-hand side of the balance sheet
• Now you will learn how to raise money i.e. financing the
capital expenditures - the right-hand side of the balance
sheet
• Hold the firm’s capital budgeting decision constant and
determine what is the best financing strategy
2
14.1 Differences between Investment and Financing Decisions
• Typical financing decisions include:
– How much debt and equity to sell
– When (or if) to pay dividends
– When to sell debt and equity
• Financing decisions easier to reverse
• Capital investment decisions - positive NPV projects, firm
does not assume it is facing a perfectly competitive market
– Where might value come from?
• Financing Schemes. If securities issued by firm are fairly
priced then the financing activities have NPV = 0
• Key QUESTION: Are securities fairly priced?
3
An Example
You have a project, which yields perpetuity of $1 every year. The
discount rate for the project is 10%. The required initial capital
outlay is $5.
• NPV of the project:
• Value of the equity (if 100% owned)
You have only $3 needed for the investment. You form a company to
finance the project. You decide to sell 40% of the ownership of
the company to your friend for $2.
• Is the equity sold to your friend fairly priced?
• Is financing NPV enhancing?
4
14.2 Efficient Capital Markets
• An efficient capital market is one in which stock prices
fully reflect available information
– Efficiency here is informational efficiency
• A market in which information is widely and cheaply
available to investors and all relevant information is already
reflected in security prices - Prices are “right” at any time
• Any new information disseminates quickly and is instantly
reflected in share prices
5
Example: Reaction of Stock Price to New Information in
Efficient and Inefficient Markets
Stock
Price
Overreaction to “good
news” with reversion
Delayed
response to
“good news”
Efficient market
response to “good news”
-30
-20
-10
0
+10
+20
+30
Days before (-) and
after (+) announcement
6
Implications of the Efficient Market Hypothesis (EMH)
• Investors
– Investors may hope for superior returns but all they can rationally expect in
an efficient market is that they shall obtain a return that is just sufficient to
compensate them for the time value of money and for the risks they bear
• Firms expect fair value for securities they sell
• In the words of press:
– …. Because prices are “efficient” - they reflect all available facts. Future
prices differ from current prices only if buyers or sellers get new
information. This by definition, is random. But why should prices be
efficient? Put simply, if they are not, it means the market is ignoring pricesensitive information. But this gives whoever has that information a
chance to make big profits by trading on it. As soon as he does so, the
overlooked information is incorporated in the price. This will make it
“efficient”.
-The Economist, December 5, 1992
7
14.3 Different Levels of Efficiency
• Weak form of market efficiency
– Stock prices fully reflect all information contained in past
prices and volume
– Stock price movements are independent of what happened in
the past
• Semi-strong form of market efficiency
– Stock prices fully reflect all publicly available information
– Publicly available information includes historic prices and
published accounting statements
• Strong form of market efficiency
– Stock prices fully reflect all information, public or private
8
Weak Form Efficiency & Random walk
• Debate on market efficiency began with the discovery that
stock prices seem to follow a random walk (Maurice
Kendall, 1953)
• What does random walk mean?
• If stock prices follow eqn. (14.1) they are said to follow a
random walk
Pt = Pt-1 + expected return + et (random error)
E(Pt) = Pt-1 + expected return
9
Technical analysis & Weak Form Efficiency
• Technical analysts argue that patterns of past security prices
repeat themselves
– Proper charting of prices (and perhaps related series like
volume) will detect when a shift has occurred
Sell
Stock Price
• If a market is weak form
efficient it is impossible to make
consistently superior returns by
technical analysis. Why?
•No arbitrage principle/law of
one price
Sell
Buy
Buy
Time
10
Semi-strong Form Efficiency & Fundamental analysis
• Prices incorporate all publicly available information
contained in accounting statements and in past stock prices,
stock returns and trading volume
• Fundamental analysts study firm/industry fundamentals and
try to judge whether a stock is under- or over-valued
• If a market is semi-strong form efficient
– It is impossible to make consistently superior returns by
fundamental analysis
– Markets and stock prices react exceptionally fast to the release
of information i.e. profit opportunities disappear fairly quickly
before they become publicly known.
11
Strong Form Efficiency
• Prices incorporate all information, public or private
– Anything pertinent to the stock and known to at least one
investor is already incorporated into the security’s price.
• If a market is strong form efficient it is impossible to make
consistently superior returns from insider information
12
Relationship among Three Different Information Sets
Strong-form efficiency  Semi-strong form efficiency  Weak-form efficiency
All information
relevant to a stock
Information set
of publicly available
information
Information
set of
past prices
13
Some misconceptions about EMH
• Investors can throw darts to select stocks.
• Prices are random or uncaused.
– Prices reflect information.
– The price CHANGE is driven by new information, which by
definition arrives randomly.
14
14.4 Empirical Evidence for EMH
• there is an enormous amount of evidence about market
efficiency, and it is mostly (but definitely not always)
consistent with efficiency
• in general, there are three broad categories of tests:
– correlation tests—are price changes random? Are there
profitable trading rules?
– event studies—does the market react quickly and efficiently to
new information?
– performance of mutual fund managers
• the first one above relates to weak form efficiency, the
second and third to semi-strong
• it is hard to test strong form, but what evidence there is
• suggests that it does not hold (insider trading is profitable)
15
1. Tests on Weak form efficiency
• Serial correlation of stock returns
– If negative correlation: “reversal”
– If positive correlation: “momentum”
• Evidence: Corr(rt,rt+1) ≈ 0 (low correlation coefficients)
– no predictable cycles in stock prices
16
2. Tests on Semi-strong form efficiency
a. Event Studies Test
•
Event studies—examine prices and returns around the arrival of new
information and look for “abnormal” returns
•
How do we measure abnormal returns? (Abnormal return: return adjusted for
expected return)
– Two approaches:
(1) Subtracting the market’s return on the same day (RM) from the actual
return (R) on the stock for that day:
AR = R – Rm
(2) Market Model approach:
AR = R – (a + β Rm)
•
Cumulative abnormal return (CAR):
T
CAR   ARt
T
0
t 0
Day
AR
-2
0
-1
-3.5
0
-1.5
1
-0.75
2
-0.25
CART0
17
Event study cont’d
18
Cumulative abnormal returns
(%)
Graphically
Cumulative Abnormal Returns for Companies Announcing
Dividend Omissions
1
0.146 0.108
-8
-6
0.032
-4
-0.72
0
-0.244
-2 -0.483 0
-1
2
4
6
8
Efficient market
response to “bad news”
-2
-3
-3.619
-4
-5
-4.563-4.747-4.685-4.49
-4.898
-5.015
-5.183
-5.411
-6
Days relative to announcement of dividend omission
19
Event studies evidence
• Over the years, event study methodology has been applied to
a large number of events including:
–
–
–
–
–
Dividend increases and decreases
Earnings announcements
Mergers
Capital spending
New issues of stock
• Most event studies do not conclude that there are profit
opportunities.
20
Tests on SS-EMH:
b. Mutual Fund Performance
•
Expert money managers (mutual funds) do not outperform
the market consistently
Annual Return Performance of Different Types of U.S. Mutual
Funds Relative to a Broad-Based Market Index (1963-1998)
All funds
Smallcompany
growth
Otheraggressive
growth
-2.13%
Growth
Income
-0.39%
-2.17%
Growth and Maximum
income
capital gains
Sector
-1.06%
-0.51%
-2.29%
-5.41%
-8.45%
Taken from Lubos Pastor and Robert F. Stambaugh, “Mutual Fund Performance and Seemingly Unrelated Assets,” Journal
of Financial Exonomics, 63 (2002).
21
3. Tests on Strong form efficiency
• Strong form efficiency does not hold - insider trading
profitable
22
Efficiency Failure: Stock Market Crash of 1987
• The NYSE dropped 22.6% on Oct. 19, 1987, and the TSE
dropped by more than 11-percent on a Monday following a
weekend during which little surprising information was
released.
– “The Black Monday”
23
Another Efficiency Failure: 3Com and Palm
• In 1999, when 3Com divested Palm Computing, they
retained a 95% stake.
• On Palm’s IPO day, the price per share went from $38 (offer
price) to $95.06.
– Palm’s market cap was $54.3 billion
– 3Com’s market cap was $28 billion
• Why?
– You would like to buy 3Com and sell Palm.
– For an IPO, it is difficult to short-sell.
24
EMH Anomalies (1)
•
Pricing anomalies (statistical regularities that occur over long periods
of time and are present in the stock markets of different countries - they
cannot be explained by existing financial models)
– Some continuing positive return after good earnings announcements.
(post earnings announcement drift)
– Small vs. large stocks
– Value vs. growth (Fig. 14.7)
– January effect
most of the difference between small and large cap performance happens in
January
– weekend effect: returns tend to be lower on Mondays, higher on Fridays
(no longer true for large cap Cdn stocks), and especially high before
trading holidays
25
Figure 14.9 Returns on Value vs. Growth (Fama & French 1998)
26
EMH Anomalies (2)
• Momentum and reversal
– Price reversal - the most extreme losers (winners) over the past
few years (3 to 5 year period) tend to have strong (low) returns
relative to the market during the following years (DeBondt
and Thaler)
– Momentum –Over 3 to 12 months returns tend to carry a
momentum (Jegadeesh and Titman)
• Recent trends: Behavioral finance
– Investors are behavioral. E.g., speculative bubbles. (1987
market crash, 1999-2001 internet bubble)
27
14.5 Implications of EMH for Corporate Finance
• If markets are efficient
– prices mean something
• Trust market prices - Prices impound all information about the
value of each security -No free lunches on Bay Street
– Markets have no memory - sequence of past price changes
contain no information about future changes
– Accounting and efficient markets
– Timing of issuance of securities
28
Review Questions
• Why are markets efficient?
• Assigned Problems # 14.4 - 7, 9, 12, 14, 17-20 (For Q20,
the diagram is at the end of the page)
29
Example
• On May 15, 1997, the government of Kuwait offered to sell 170 million BP
shares, worth about $2 billion. Goldman Sachs was contacted after the stock
market closed in London and given one hour to decide whether to bid on the
stock. They decided to offer $11.59 per share, and Kuwait accepted. Then
Goldman Sachs started looking for buyers. They lined up 500 institutional and
individual investors worldwide and resold all the shares at $11.70. The resale
was complete before the London Stock Exchange opened the next morning.
Goldman Sachs made $15 million overnight. What does this deal say about
market efficiency?
30
Readings: EMH or NOT? The debate goes on…
• See the following WSJ article appearing on the Oct. 18,
2004 issue:
– Stock Characters: As Two Economists Debate Markets, The
Tide Shifts; Belief in Efficient Valuation Yields Ground to
Role Of Irrational Investors; Mr. Thaler Takes On Mr. Fama
(Article attached in the course website)
31