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Lecture 10 Efficient Markets

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Semi-Strong Form. Test Procedure. FAMA, FISHER, JENSEN, ROLL(1969) ... Strong Form Market Efficiency. Definition: Methodology: ... – PowerPoint PPT presentation

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Title: Lecture 10 Efficient Markets


1
Lecture 10Efficient Markets
  • Managerial Finance
  • FINA 6335
  • Ronald F. Singer

2
Efficient Markets
  • Perfect
  • Capital
  • Markets
  • Efficient
  • Capital
  • Markets.

Versus
3
Forms of Market Efficiency
  • Weak form
  • Semi-strong form
  • Strong form

4
Efficient Markets
  • In general we can say markets are "efficient"
    with respect to some information set f if
  • Expectations regarding the future price of the
    stock given the information contained in f is
    equal to the expected price given the current
    price.
  • Beware of expecting too much from market
    efficiency arguments "Anomalies"

5
Why Should Markets Not be Efficient?
  • 1- The speed at which information is
    "disseminated" to the market
  • 2- Investors Overreact

Price
Time
INF
6
Why Should Markets Be Efficient?
Price
6.50
5.50
5.00
Time
7
The Evidence
  • Weak Form
  • Definition
  • Methodology Filter Rules

8
Weak Form
Price
  • Change position when
  • stock price changes by x.
  •  
  • 2. Compare with buy and hold
  •  
  • Abnormal positive or negative
  • returns imply weak form inefficiency.

Time
t-1
t
9
Weak Form
  • Results 
  • Filter rule results in statistically significant
    abnormal returns for filters less than 1 1/2
  • 1 1/2 Filter Buy
    and Hold
  • 11.52 Annual Yield
    10.4
  • 12,814 Number of Trades
  • -103.59 Floor Traders' Return after Transaction
    Costs

10
Semi-Strong Form
  • Definition
  • Methodology
  • "Event Studies"
  • 1. Define Information
  • 2. Define Abnormal returns
  • Models of "normal returns"
  • Rit ai ßi Rmt eit Market Model
  • Rit Rft ßi(Rmt - Rft) eit CAPM
  • If eit 0 There are abnormal returns

11
Semi-Strong Form
  • Test Procedure
  • FAMA, FISHER, JENSEN, ROLL(1969)
  • A. Identify Firms "Announcing" Event
  • B. Calculate Average residuals, cumulative
    Average residuals around the "Event Date"
  • Example
  • Company Announcement(t0) t -1
  • ABC 9/25/80 9/24/80
  • DEC 8/7/79 8/6/79
  • IBM 8/3/72 8/2/79
  • Then we have eit i1, ...,N, t
    -30...,0,...30

12
Patterns
  • Average
  • Abnormal
  • Residual

Cumulative Abnormal Average Residual
N ARt S 1 eit
i1 N
T CART S ARt t -30  
Results
13
Strong Form Market Efficiency
  • Definition
  • Methodology
  • Compare trades made by "insiders" to a buy and
    hold strategy
  • Result

14
Anomalies
  • 1. Value Line
  • 2. Weekend Effect
  • 3. Year End Effect
  • 4. Price Earnings Ratio
  • 5. Small Firm
  • 6. Insiders Trading
  • 7.The October Stock Market Crashes
  • 8. Post Announcement Drift.
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