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Chapter 13, Market Efficiency

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... subsequent terms in a sequence (in this case, daily stock prices) ... stock's ... are known from past data, we will price the stock at $14.76. ... – PowerPoint PPT presentation

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Title: Chapter 13, Market Efficiency


1
Chapter 13, Market Efficiency
2
Financing Decisions/Efficient Markets
  • Up until now, we have slipped in an assumption
    that Markets correctly price investments. If
    markets correctly price investments, then markets
    correctly price risk, and thus we can use the
    markets to know what premium should be associated
    with accepting risky investments.
  • This leads to the idea of Efficient Markets. A
    market is efficient if all information is
    incorporated into the price of an asset. We will
    see three possible sets of information that will
    be considered, leading to three different forms
    of efficiency.

3
Three forms of efficiency
  • Weak Form
  • Prices reflect only past prices (and dividends)
  • Semi-Strong
  • Prices reflect all publicly knowable information
  • Strong
  • Prices reflect all information
  • Hard to argue with Weak Form, hard to accept
    Strong form

4
Arbitrage (or a similar idea)
  • One way that the markets will work to be
    efficient is through arbitrage. If someone finds
    a profit-making opportunity, they will take it
    (if its profitable)
  • This arbitrage will move the market in a way that
    will incorporate the knowledgeable arbitragers
    information into the stock price
  • Plott, Information experiment.
  • These also depend on how rational investors are.

5
An aside about Random Walks
  • A random walk is a term used in statistics to
    denote a certain process of generating subsequent
    terms in a sequence (in this case, daily stock
    prices). Each term in the sequence is equal to
    the previous term plus an error term that is
    statistically independent of any other error
    term. These error terms have an expected value of
    0 (and are independent of any other term)
  • Example Flipping a coin, and counting the number
    of heads minus the number of tails.

6
Implications of Random Walks
  • The Efficient Market Hypothesis implies that the
    error term ej1 is unpredictable. If we had
    information to predict ej1 we could (possibly)
    profit, but if we didnt have extra information,
    there would be no way to systematically profit.

7
Weak Form Efficiency
  • Consider a stock of Ford which pays dividends of
    1, 2, 1, 2, ... starting one year hence. We will
    assume a discount factor of 10 throughout. What
    is this stocks price?
  • This is the sum of two perpetuities, one that
    pays 1 every year, and one that pays 1 every
    other year. The value of the first perpetuity is
    1/0.1 10. The second perpetuity is worth
    1/0.21 4.76.

8
Without considering past prices
  • Thus, if the fluctuations are known from past
    data, we will price the stock at 14.76. (Note,
    if we did this calculation beginning one year
    later, we would obtain 15.24 as the price).
  • Weak Form efficiency says that the past cycles
    are taken into account, and thus when we see a 1
    dividend, we dont price the stock at just 10.
    The market then has taken the cyclical nature of
    the dividends into account, and thus profit cant
    be obtained from knowledge of the cycles.

9
Tests of Weak Form Efficiency
  • Trading rules These are rules that make
    decisions based upon the past pricesif a stock
    rises by x buy it until it has lost x from its
    subsequent high. Fama and Blume (1966) showed
    that no value of x could beat a buy and hold
    strategy (after commissions). Some rules can be
    much more elaborate (almost an art form), but
    these generally dont work.

10
Tests of Weak Form II
  • Serial Correlationsthe correlation between Rt
    and Rt1 can be calculated. If the Weak Form
    Efficiency Hypothesis holds, the correlation
    should be 0.
  • Studies of daily returns usually show a small
    positive correlation, but it is too small of
    which to take advantage.
  • The conclusion is that the market is efficient in
    the weak form.

11
Some people dont agree
  • Some people dont seem to believe even in the
    weak form efficiency hypothesis. There are
    chartists and technical analysts who try to see
    where the market is going based upon past prices.
    They will see patterns in the (past) prices to
    determine which way they think the stock price
    will go.
  • But I dont know many successful day traders or
    chartists! In fact, a major trading house (Smith
    Barney) recently (a year ago) released its
    entire technical analysis division

12
Semi-Strong Efficiency
  • Tests for this form efficiency look at timing of
    stock price adjustments with respect to events.
  • For instance, when earnings are announced, new
    information is available about the price of the
    stock. Almost the full adjustment (90 for
    increased earnings, 76 for decreased earnings)
    takes place in the first three hours of the
    announcement. Also, the Chinese yuan
  • RWJ has more tests of this sort.

13
Mutual Funds
  • Mutual funds do not outperform the market
    consistently, even though they have immense
    resources to look through all publicly available
    information. This supports semi-strong form
    efficiency.
  • So why do we hear about (mostly) good mutual
    funds? Those that do bad lose money and have
    investors leave, so cease to exist. Also, if a
    company starts lots of small funds, some of those
    are going to do well by chance. Those funds can
    then be touted, while the others can be folded
    into the successful fund.

14
Sell Ratings on Stocks
WSJ, Monday, April 11 2005, C1
15
Strong Form Efficiency
  • Strong Form Efficiency implies that ALL possible
    information about a stock is reflected in its
    price.
  • This is too extreme to hold in practice.

16
Implications of Efficient Markets
  • Markets have no memory
  • There are no financial illusions
  • Trust market prices
  • Cant time markets
  • This means that trying to time issuing debt or
    IPOs cannot create value.

17
Some (small?) anomalies
  • Size (Market Cap)
  • Value (Book versus Market)
  • Seasonal Patterns
  • January Effect
  • Day of the week Effect
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