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Session 08 Stock Market Efficiency Programme : Executive Diploma in Accounting, Business & Strategy (EDABS 2017) Course : Corporate Financial Management (EDABS 202) Lecturer : Mr. Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA Contact : [email protected]

Session 08 Stock Market Efficiency - CA Sri Lanka

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Session 01 Introduction to Management Accounting(EDABS 2017)
Lecturer : Mr. Asanka Ranasinghe
Contact : [email protected]
Learning Outcomes
• Discuss the meaning of the random walk hypothesis and provide a
balanced judgement of the usefulness of past price movements to predict
future share prices (weak-form efficiency);
• Provide an overview of the evidence for the stock market’s ability to take
account of all publicly available information including past price
movements (semi-strong efficiency);
• State whether stock markets appear to absorb all relevant (public or
private) information (strong-form efficiency);
• Outline some of the behavioural-based arguments leading to a belief in
inefficiencies.
Introduction
In an efficient capital market, security (for example shares) prices
rationally reflect available information.
In an efficient market systematic undervaluing or overvaluing of
shares does not occur, and therefore it is not possible to develop
trading rules which will ‘beat the market’ by, say, buying identifiable
underpriced shares, except by chance.
Most investors are too late
Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA 3
4 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
The 3 Levels of Market Efficiency
5 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
• Weak Form Efficiency
Eg: trading data - historical prices, volumes etc.
Trend analysis is fruitless
Fundamental analysis is also not useful
• Strong Form Efficiency
Evidence in Favour of Market Efficiency
6 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
Performance of Investment Analysts and Mutual Funds should not
be able to consistently beat the market
• The “Investment Dartboard” often beats investment managers
• Mutual funds not only do not outperform the market on average, but when
they are separated into groups according to whether they had the highest
or lowest profits in a chosen period, the mutual funds that did well in the
first period do not beat the market in the second period
• Mini-Case: In the 1980s, Ivan Boesky made millions of dollars for himself
and his investors by investing in take-over targets. Did he disprove the
efficient market hypothesis by predicting who would be disprove the
efficient market hypothesis by predicting who would be take-over targets
in the coming months?
• Hardly. In 1986, Mr. Boesky was charged with insider trading. This does
show that you can make money on information others don’t have…
• Investment strategies using inside information is the only “proven
method” to beat the market
• It is illegal to trade on such information
Evidence in Favour of Market Efficiency
7 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
Do Stock Prices Reflect Publicly Available Information
• The EMH predicts they will. Thus if information is already publicly
available, a positive announcement about a company will not, on average,
raise the price of its stock because this will not, on average, raise the
price of its stock because this information is already reflected in the stock
price
• Early empirical evidence confirms: favorable earnings announcements or
announcements of stock splits (a division of a share of stock into multiple
shares, which is usually followed by higher earnings) do not, on average,
cause stock prices to rise
Evidence in Favour of Market Efficiency
8 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
Random-Walk Behavior of Stock Prices
• Future changes in stock prices should, for all practical purposes, be
unpredictable and The movement of stock prices from day to day DO NOT
reflect any pattern
• If stock is predicted to rise, people will buy to equilibrium If stock is
predicted to rise, people will buy to equilibrium level; if stock is predicted
to fall, people will sell to equilibrium level (both in concert with EMH)
Evidence in Favour of Market Efficiency
9 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
Technical Analysis Vs Fundamental Analysis
• Study of past stock price data and search for patterns such as trends and
regular cycles, suggesting rules for when to buy and sell stocks (i.e. using
prices and volume information to predict future prices)
Sometimes called chartists
Evidence in Favour of Market Efficiency
10 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
Technical Analysis Vs Fundamental Analysis
• Fundamental Analysis of using economic and accounting information to
predict stock prices (i.e. Research on determinants of stock value Ex:
earnings, dividend prospects, expectations of future interest rates etc.)
Semi strong form efficiency & fundamental analysis
The EMH suggests that technical analysis is a waste of time
The simplest way to understand why is to use the random-walk
result that holds that past stock price data cannot help predict
changes
Therefore, technical analysis, which relies on such data to produce
its forecasts, cannot successfully predict changes in stock prices
Evidence Against Market Efficiency
The Small-Firm Effect is an anomaly
• Many empirical studies have shown that small firms have earned abnormally
high returns over long periods of time, even when the greater risk for these
firms has been considered
• The small-firm effect seems to have diminished in recent years but is still a
challenge to the theory of efficient markets
• Various theories have been developed to explain the small-firm effect such
as rebalancing of portfolios by institutional investors, tax issues, low
liquidity of small-firm stocks, large information costs in evaluating small
firms, or an inappropriate measurement of risk for small-firm stocks
Evidence Against Market Efficiency
The January Effect – the tendency of stock prices to experience
an abnormal positive return in the month of January that is
predictable and, hence, inconsistent with random-walk behavior
• Investors have an incentive to sell stocks before the end of the year in
December because they can then take capital losses on their tax return and
December because they can then take capital losses on their tax return and
reduce their tax liability. Then when the new year starts in January, they
can repurchase the stocks, driving up their prices and producing abnormally
high returns
• Although this explanation seems sensible, it does not explain why
institutional investors such as private pension funds, which are not subject
to income taxes, do not take advantage of the abnormal returns in January
and buy stocks in December, thus bidding up their price and eliminating the
abnormal returns
Market Overreaction: recent research suggests that stock prices
may overreact to news announcements and that the pricing
errors are corrected only slowly
• When corporations announce a major change in earnings, say, a large When
corporations announce a major change in earnings, say, a large decline, the
stock price may overshoot, and after an initial large decline, it may rise
back to more normal levels over a period of several weeks
• This violates the EMH because an investor could earn abnormally high
returns, on average, by buying a stock immediately after a poor earnings
announcement and then selling it after a couple of weeks when it has risen
back to normal levels
Evidence Against Market Efficiency
Excessive Volatility: the stock market appears to display
excessive volatility;
• i.e., fluctuations in stock prices may be much greater than is warranted by
fluctuations in their fundamental value
• Researchers have found that fluctuations in the S&P500 stock index could
Researchers have found that fluctuations in the S&P500 stock index could
not be justified by the subsequent fluctuations in the dividends of the
stocks making up this index
• Other research finds that there are smaller fluctuations in stock prices
when stock markets are closed, which has produced a consensus that stock
market prices appear to be driven by factors other than fundamentals.
Misconceptions About EMH
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• Any share portfolio will perform as well as or better than a special
trading rule designed to outperform the market
The EMH says that after first eliminating unsystematic risk by holding broadly
based portfolios and then adjusting for the residual systematic risk, investors
will not achieve abnormal returns
• There should be fewer price fluctuations
Prices move because new information is coming to the market every hour
which may have some influence on the performance of a specific company
• Only a minority of investors are actively trading, most are passive,
therefore efficiency cannot be achieved
It only needs a few trades by informed investors using all the publicly
available information to position (through their buying and selling actions) a
share at its semi-strong-form efficient price
Implications of the EMH for Investors
16 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
• For the vast majority of people public information cannot be used
to earn abnormal returns
Investor should simply select a suitably diversified portfolio
• Investors need to press for a greater volume of timely information
Quality and quantity of publicly available information encouraged by investor
pressure
• The perception of a fair game market could be improved by more
constraints and deterrents placed on insider dealers
Implications of the EMH for Companies
17 Asanka Ranasinghe MBA (Colombo), BBA (Finance), ACMA, CGMA
• Focus on substance, not on short-term appearance
• The timing of security issues does not have to be fine-tuned
• Large quantities of new shares can be sold without moving the price
• Signals from price movements should be taken seriously
Asanka Ranasinghe BBA (Finance), ACMA, CGMA 18