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Chapter 9
The Capital Markets and Market Efficiency
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Outline Introduction Role of the capital markets Efficient market hypothesis Anomalies
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Introduction Capital market theory springs from the
notion that:• People like return
• People do not like risk
• Dispersion around expected return is a reasonable measure of risk
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Role of the Capital Markets Definition Economic function Continuous pricing function Fair price function
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Definition Capital markets trade securities with lives
of more than one year
Examples of capital markets• New York Stock Exchange (NYSE)• American Stock Exchange (AMEX)• Chicago Board of Trade• Chicago Board Options Exchange (CBOE)
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Economic Function The economic function of capital markets
facilitates the transfer of money from savers to borrowers• E.g., mortgages, Treasury bonds, corporate
stocks and bonds
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Continuous Pricing Function The continuous pricing function of capital
markets means prices are available moment by moment• Continuous prices are an advantage to investors
• Investors are less confident in their ability to get a quick quotation for securities that do not trade often
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Fair Price Function The fair price function of capital markets
means that an investor can trust the financial system• The function removes the fear of buying or
selling at an unreasonable price
• The more participants and the more formal the marketplace, the greater the likelihood that the buyer is getting a fair price
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Efficient Market Hypothesis Definition Types of efficiency Weak form Semi-strong form Strong form Semi-efficient market hypothesis Security prices and random walks
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Definition The efficient market hypothesis (EMH) is
the theory supporting the notion that market prices are in fact fair• The EMH is perhaps the most important
paradigm in finance
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Types of Efficiency Operational efficiency measures how well
things function in terms of speed of execution and accuracy• It is a function of the number of order that are
lost or filled incorrectly
• It is a function of the elapsed time between the receipt of an order and its execution
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Types of Efficiency (cont’d) Informational efficiency is a measure of
how quickly and accurately the market reacts to new information• It relates directly to the EMH
• The market is informationally very efficient– Security prices adjust rapidly and accurately to new
information– The market is still not completely efficient
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Weak Form Definition Charting Runs test
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Definition The weak form of the EMH states that it is
impossible to predict future stock prices by analyzing prices from the past• The current price is a fair one that considers
any information contained in the past price data
• Charting techniques or of no use in predicting stock prices
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Definition (cont’d)Example
Which stock is a better buy?
Stock A
Stock B
Current Stock Price
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Definition (cont’d)Example (cont’d)
Solution: According to the weak form of the EMH, neither stock is a better buy, since the current price already reflects all past information.
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Charting People who study charts are technical
analysts or chartists• Chartists look for patterns in a sequence of
stock prices
• Many chartists have a behavioral element
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Runs Test A runs test is a nonparametric statistical
technique to test the likelihood that a series of price movements occurred by chance• A run is an uninterrupted sequence of the same
observation• A runs test calculates the number of ways an
observed number of runs could occur given the relative number of different observations and the probability of this number
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Conducting A Runs Test
1 2
1 2
1 2 1 2 1 22
1 2 1 2
1 2
where number of runs
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2 (2 )
( 1)
, number of observations in each category
standard normal variable
R xZ
R
n nx
n n
n n n n n n
n n n n
n n
Z
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Semi-Strong Form The semi-strong form of the EMH states
that security prices fully reflect all publicly available information• E.g., past stock prices, economic reports,
brokerage firm recommendations, investment advisory letters, etc.
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Semi-Strong Form (cont’d) Academic research supports the semi-strong
form of the EMH by investigating various corporate announcements, such as:• Stock splits• Cash dividends• Stock dividends
This means investor are seldom going to beat the market by analyzing public news
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Strong Form The strong form of the EMH states that
security prices fully reflect all public and private information
This means even corporate insiders cannot make abnormal profits by using inside information• Inside information is information not available
to the general public
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Semi-Efficient Market Hypothesis
The semi-efficient market hypothesis (SEMH) states that the market prices some stocks more efficiently than others• Less well-known companies are less efficiently
priced• The market may be tiered• A security pecking order may exist
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Security Prices and Random Walks
The unexpected portion of news follows a random walk• News arrives randomly and security prices
adjust to the arrival of the news– We cannot forecast specifics of the news very
accurately
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Anomalies Definition Low PE effect Low-priced stocks Small firm effect Neglected firm effect Market overreaction January effect
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Anomalies (cont’d) Day-of-the-week effect Turn-of-the calendar effect Persistence of technical analysis Chaos theory
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Definition A financial anomaly refers to unexplained
results that deviate from those expected under finance theory• Especially those related to the efficient market
hypothesis
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Low PE Effect Stocks with low PE ratios provide higher
returns than stocks with higher PEs
Supported by several academic studies
Conflicts directly with the CAPM, since study returns were risk-adjusted (Basu)
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Low-Priced Stocks Stocks with a “low” stock price earn higher
returns than stocks with a “high” stock price
There is an optimum trading range
Every stock with a “high” stock price should split
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Small Firm Effect Investing in firms with low market
capitalization will provide superior risk-adjusted returns
Supported by academic studies
Implies that portfolio managers should give small firms particular attention
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Neglected Firm Effect Security analysts do not pay as much
attention to firms that are unlikely portfolio candidates
Implies that neglected firms may offer superior risk-adjusted returns
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Market Overreaction The tendency for the market to overreact to
extreme news• Investors may be able to predict systematic
price reversals
Results because people often rely too heavily on recent data at the expense of the more extensive set of prior data
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January Effect Stock returns are inexplicably high in
January
Small firms do better than large firms early in the year
Especially pronounced for the first five trading days in January
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January Effect (cont’d) Possible explanations:
• Tax-loss trading late in December (Branch)
• The risk of small stocks is higher early in the year (Rogalski and Tinic)
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Types of Firms in JanuaryJanuary return
January return minus average monthly return
in rest of year
January return after adjusting for
systematic risk
S&P 500 Companies
Highly Researched 2.48% 1.63% -1.44%
Moderately Researched
4.95% 4.19% 1.69%
Neglected 7.62% 6.87% 5.03%
Non-S&P 500 Companies
Neglected 11.32% 10.72% 7.71%
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Day-of-the-Week Effect Mondays are historically bad days for the
stock market
Wednesday and Fridays are consistently good
Tuesdays and Thursdays are a mixed bag
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Day-of-the-Week Effect (cont’d)
Should not occur in an efficient market• Once a profitable trading opportunity is
identified, it should disappear
The day-of-the-week effect continues to persist
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Turn-of-the-Calendar Effect The bulk of returns comes from the last
trading day of the month and the first few days of the following month
For the rest of the month, the ups and downs approximately cancel out