Market Efficiency - PowerPoint PPT Presentation

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Market Efficiency

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Market Efficiency Performance of portfolio managers Anomalies Behavioral Finance as a challenge to the EMH * * 2. Performance of Portfolio Managers Implication of the ... – PowerPoint PPT presentation

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Title: Market Efficiency


1
Market Efficiency
  1. Performance of portfolio managers
  2. Anomalies
  3. Behavioral Finance as a challenge to the EMH

2
2. Performance of Portfolio Managers
  • Implication of the semi-strong form EMH managers
    cannot consistently beat the market
  • Information set of managers (supposedly) public
    information
  • Collectively, U.S. evidence based on this type of
    tests support the semi-strong form EMH
  • Issue of survivorship bias

3
Canadian Evidence
  • Largest 76 Canadian equity funds from 1988 to
    1997, none beat the category average in all ten
    years
  • Canadian Investment Review, Fall 2002, Does
    Aggressive Portfolio Management Work?
  • Market timing test non-linear regression covered
    in class
  • Stock selection ability test Jensens alpha

4
Performance of Portfolio Managers
  • Conclusion no evidence of consistent
    market-timing or stock-picking abilities
  • And past performance is not an indicator of
    future performance

5
3. Anomalies
  • Exceptions that appear to be contrary to market
    efficiency
  • Earnings announcements affect stock prices
  • Adjustment occurs before announcement, but also
    significant amount after
  • Contrary to efficient market hypothesis because
    the lag should not exist

6
Anomalies Examples
  • Low M/B ratio stocks tend to outperform high M/B
    ratio stocks
  • Low M/B portfolios typically have higher
    risk-adjusted returns (risk measured by ? or
    constant ?)
  • Value investing
  • Why is it an anomaly?
  • M/B is public information!

7
Canadian Evidence(Deaves 2005)
8
Anomalies Examples
  • Size effect
  • Tendency for small firms to have higher
    risk-adjusted returns than large firms
  • January effect
  • Tendency for small firm stock returns to be
    higher in January
  • Half of the size premium can be accounted for in
    January (known as Small-firm-in-January effect)

9
Anomalies Examples
  • Time trend
  • Evidence of short-term momentum (3-12 month
    horizon) in stock prices
  • But evidence of long-term reversal (3-5 year
    horizon) in winner and loser portfolios

10
Explanations for Anomalies
  • Risk Premiums or market inefficiencies?
  • Data mining or anomalies?

11
The Value Premium
  • Risk-based explanation
  • Relax the assumption in the conventional CAPM
    that beta and the market risk premium are
    constant
  • HML has higher beta when market risk premium is
    high. Translation value stocks do not do well in
    down markets, and hence are riskier to investors
    (Petkova and Zhang 2005)
  • Value firms tend to have greater amounts of
    tangible assets, and hence less flexibility to
    adjust capacity during downturns (operating risk)

12
The Value Premium
  • Behavioral finance explanation Investors tend to
    overreact
  • Growth stocks are glamour stocks
  • Price bidded up beyond fundamental value
  • Correction in the long term
  • Opposite is true for value stocks

13
4. Behavioral Finance
  • Behavioral finance provides an alternative view
    of financial markets
  • Challenges the EMH on both theoretical and
    empirical grounds
  • Theory model investor behavior, using theories
    and observations from the psychology literature
  • Empirical existence of anomalies (anomalous from
    the EMH perspective)

14
Three Theoretical Challenges
  • Investors can be irrational
  • Trade on irrelevant information (noise)
  • Trade on sentiment
  • Follow advice of financial gurus
  • Fail to diversify
  • Over-active trading

15
Theoretical Challenges
  • Irrational investors trades are not random
  • If random and uncorrelated, tend to cancel each
    other out, so that on average, stock price
    fundamental price
  • Behavioral finance irrational investors trades
    are positively correlated, and hence move in the
    same direction
  • Investor sentiment reflect common judgment errors
    made by a substantial number of investors
  • Listen to the same rumours, and imitate neighbours

16
Theoretical Challenges
  • There are limits to arbitrage
  • If there is a significant number of irrational
    investors, arbitrage is risky
  • If arbitrageurs are risk-averse, their activities
    will be limited (fundamental risk, implementation
    costs, model risk)
  • Mispricing can exist, particularly in the short
    term
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