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3 Definition Capital markets trade securities with lives of more than one year
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The Capital Markets and Market Efficiency
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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
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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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Concept of Efficiency
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Efficiency defined
Informational efficiency is a measure of how quickly and accurately the market reacts to new information– If the market is informationally very
efficient• Security prices adjust rapidly and
accurately to new information
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Efficient Market
In an efficient market,
– Market price is an unbiased estimate of
the true value of the investment.
Market Efficiency does not require that
the market price be equal to true value at
every point in time.
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Efficient Market
Errors in the market price be unbiased
implying that prices can be greater than
or less than true value, as long as these
deviations are random.
Randomness implies that there is an
equal chance that stocks are under or
over valued at any point in time.
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Example of Efficiency
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Example of Inefficiency
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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 are of no use in predicting stock prices
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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
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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 investors 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 relevant public and private information
This means even corporate insiders cannot make abnormal profits by using inside information about their company– Inside information is information not
available to the general public
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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 and 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
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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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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 the return 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
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Persistence of Technical Analysis Technical analysis refers to any technique in
which past security prices or other publicly available information are employed to predict future prices
Studies show the markets are efficient in the weak form
Literature based on technical techniques continues to appear but should be useless
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Chaos Theory
Chaos theory refers to instances in which apparently random behavior is systematic or even deterministic
Econophysics refers to the application of physics principles in the analysis of stock market behavior– e.g., an investment strategy based on
studies of turbulence in wind tunnels
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