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FIN 320 Prof. Jim Mallett

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Title: FIN 320 Prof. Jim Mallett


1
CHAPTER 9
A Basic View of Technical Analysis and Market
Efficiency
FIN 320 Prof. Jim Mallett
2
Learning Objectives
  • Understand the difference between fundamental and
    technical analysis.
  • Understand how technical analysis is related to
    patterns of stock price movement.
  • Explain the types of charting that are used in
    technical analysis.
  • Describe the use of key indicator series in
    attempting to track the direction of the market.
  • Explain the efficient market hypothesis and the
    various forms it can take.
  • Relate the efficient market hypothesis to
    fundamental and technical analysis.

3
Technical Analysis
  • Technicians examine prior price and volume data
    to determine past trends in the belief that they
    will help forecast future ones.
  • Fundamental Analysis uses expectations of
    economic conditions and company information to
    value an asset (stock).
  • Technical analysis relies on charts and graphs of
    internal market data.
  • Technicians believe that even when important
    fundamental information is uncovered, it may not
    lead to profitable trading because of timing
    considerations and market imperfections.

4
Assumptions ofTechnical Analysis
  • Market value is determined solely by the
    interaction of supply and demand.
  • It is assumed that there are minor fluctuations
    in the market and stock prices tend to move in
    trends that persist for long periods of time.
  • Reversals of trends are caused by shifts in
    demand and supply.
  • Shifts in demand and supply can be detected
    sooner or later in charts.
  • Many chart patterns tend to repeat themselves.

5
The Use of Charting
  • Charles Dow, editor of the Wall Street Journal
    (WSJ) developed the charting technique in the
    late 1890s.
  • The Dow Theory
  • There are three major movements in the market
  • Daily fluctuations.
  • Secondary movements - covering two weeks to a
    month and are only important to the extent they
    reflect on the long-term primary trend in the
    market.
  • Primary trends which are either bullish or
    bearish in nature.
  • Analysts should not be confused by secondary
    movement.
  • New pattern of movement by the DJIA must be
    confirmed by DJTA.

6
Presentation ofthe Dow Theory
(Figure 9-1)
7
Support and Resistance Levels
  • Support is a new price level at which new demand
    comes into the market.
  • Resistance is a new price level at which supply
    of the stock increases.

8
Types of Charts
  • A bar chart shows the high and low price for a
    stock with a horizontal dash to indicate closing
    price.
  • A point and figure chart emphasizes significant
    price changes and the reversal of significant
    price changes.

9
Contrary Opinion Rule
  • Short Sales Position indicates that a large
    aggregate number of short sellers is a bullish
    signal.
  • It is measured by the ratio of total short sales
    positions on an exchange to average daily
    exchange volume for the month.
  • A normal ratio is between 2.0 (bearish) and 5.0
    (bullish). The ratio is published daily in the
    WSJ.
  • Also known as short interest ratio
  • Around the 20th of each month, WSJ reports on
    total short sale figures.

10
Contrary Opinion Rule
  • Investment Advisory Recommendations.
  • Investors Intelligence developed the Index of
    Bearish Sentiment which suggests that when 60 or
    more of the advisory services are bearish, you
    should expect an upturn and when only 15 or less
    are bearish you should expect a decline.
  • Published in the Market Laboratory - Economic
    Indicators section of Barrons.

11
Contrary Opinion Rule
  • Put/Call Ratio tells you to do the opposite of
    what option traders are doing because their
    speculation is ill conceived.
  • The ratio is normally around 0.60.
  • 0.70 or higher 4 Pessimism by option traders 4
    Buy Signal
  • 0.40 or lower 4 Optimism by option traders 4
    Sell Signal
  • Ratio can be found in the Market Week - Options
    section of Barrons

12
Overall Market Rules
  • Breadth of the market indicator attempts to
    measure what a broad range of securities is doing
    as opposed to merely examining a market average.
  • The technician compares the advance - declines
    with the movement of a market average to
    determine if there is a divergence between the
    two.
  • Advances and declines move in the opposite
    direction of market averages at a market peak or
    bottom.

Net Advances or Declines
Breadth Index
Number of Issues Traded
13
Efficient Market Hypothesis
  • An efficient market is one in which new
    information is very rapidly processed so that
    securities are properly priced at any given time.
  • Premise of an Efficient Market Hypothesis -
  • A large number of independent profit maximizing
    participants, concerned with analysis and
    valuation of securities.
  • Information travels in a random independent
    fashion.
  • There is almost instantaneous adjustment to new
    information. Consequently, no stock price can be
    in disequilibrium or improperly priced for very
    long.
  • Prices are an unbiased reflection of all
    currently available information. No one
    investor can consistently outperform the market.

14
Weak Form of EfficientMarket Hypothesis
  • Weak-form of EMH suggests that there is no
    relationship between past and future prices and
    trading volumes of securities.
  • Prices are presumed independent over time. There
    is nothing to be gained from studying past data.
  • Tests of independence have examined the degree of
    correlation between stock prices over time and
    found the correlation to be consistently small
    (-.10 4 .10) and not statistically
    significant.

15
Weak Form of EfficientMarket Hypothesis
(continued)
  • Trading Rule Test
  • Example If a stock moves up by 2 (or 10) or
    more, the rule might be to buy it. This
    supposedly represents a breakout and should be
    bullish.
  • Can a trading rule beat a naïve buy-and-hold
    approach?
  • Empirical research finds that in a limited
    number of cases, trading rules may produce
    slightly positive returns, but after commissions
    and risk are considered, the results are neutral
    and sometimes negative.
  • Implications for Technical Analysis
  • Prices move independently over time, past trends
    cannot be used to predict the future and that
    charting and technical analysis may have limited
    value.

16
Semistrong Form of theEfficient Market
Hypothesis
  • Semi-Strong form of EMH maintains that all public
    information is already impounded in the value of
    a security and therefore one cannot use
    fundamental analysis to determine whether a stock
    is undervalued or overvalued.
  • There is no learning lag in the distribution of
    public information.
  • Investors cannot earn superior returns by trading
    on public information about stock splits, earning
    reports, asset sales, capital restructuring, etc
  • Tests of semi-strong form of EMH are generally
    based on risk adjusted returns.
  • Research shows that market is generally efficient
    in semistrong form.

17
Implications of Semi-Strong FormEMH for
Fundamental Analysis
  • It is very difficult (but not impossible) to earn
    abnormal returns.
  • Although many would suggest that fundamental
    analysis may not lead to superior profits in an
    efficient market, it is fundamental analysis
    itself that makes the market efficient.
  • Portfolio managers should decide on the desirable
    level of risk for their clients and maintain that
    level of risk by periodically rebalancing the
    portfolio, while minimizing the costs associated
    with liquidity, transactions and taxes.
  • Tests on the performance of mutual funds managers
    have consistently indicated that they are not
    able to beat the market averages over the long
    term.

18
Market Anomolies
  • Evidence against semi-strong form EMH
  • Low P/E stock consistently provide higher returns
    than high P/E stocks.
  • Small firms tend to provide higher returns than
    large firms, after adjusting for risk.
  • Stock market returns are higher in January than
    rest of the year.

19
Strong Form of theEfficient Market Hypothesis
  • Strong form of EMH states that stock prices
    reflect not only public information but all
    information. It goes beyond the concept of an
    efficient market to one that is perfect.
  • Assumption No group of investors has
    monopolistic access to information.
  • Results of research do not support strong form of
    EMH.
  • Studies report that specialists average return on
    capital exceeds 100.
  • Insiders consistently achieve higher returns than
    would be expected in a perfect capital market.
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