Title: Market efficiency
1Market efficiency
- Specific meaning of the term market efficiency
in financial economics security prices fully
reflect all available information - So this is Informational Efficiency
- Realistically an efficient market is one in
which information is quickly incorporated into
the price. - Tests of market efficiency refer (since Fama,
1970) to three progressively more demanding
concepts - Weak form
- Semi-strong form
- Strong form
2Market efficiency tests
- The difference between the three lies in what
information is taken into account - Weak form is all info from past prices
incorporated? - Semi-strong is all publicly available info
incorporated? - Strong form is all info, public or private,
incorporated?
3Market efficiency
- Weak form no additional info from past prices
- tests of return predictability
- Semi-strong all publicly available info
incorporated - event studies
- Strong form all info, public or private,
incorporated - event studies
- NB if strong form is true, then the value of
security analysis becomes suspectthough someone
must be doing it
4Return on equity of takeover targets around date
of takeover attempt
Keown-Pinkerton, 1981, cited in BKM
5Market efficiency
- Two aspects, both of which are relevant
- Stock picking
- Timing (especially for the market as a whole)
6Tests of return predictability
- Time patterns
-
- Monday 33 (1962-78)
- January 5 (small firms)
- 3 (large firms)
- Why? Tax losses? (but worked before 1917)
7Tests of return predictability
- Prediction from past returns
- (a) Correlation / regression
- (best to use residual from CAPM or APT model to
eliminate role of time-varying risk-premia) - Quite a few show significant, albeit small,
correlations especially small shares)
8Tests of return predictability
- Prediction from past returns
- (b) Runs tests
- Ignore size of changes and just look at positive
versus negative (avoids overemphasis on unusual
extreme events)
9Tests of return predictability
- Prediction from past returns
- (c) Filter rules
- Such as
- buy when the stock has increased by (say) 0.5
from its previous low - sell when stock has fallen by (say) 0.5 from its
previous high. - (Based on the idea that small fluctuations dont
mean news big fluctuations do)
10Tests of return predictability
- Prediction from past returns
- (d) Momentum
- For the next month, hold only the stocks that
have appreciated over the past year - (or could do this for shorter-term fluctuations)
- Used to generate good returns, though high
transactions costs. Has faded - Similar relative strength stocks that are
high relative to recent average
11Tests of return predictability
- Prediction from past returns
- Most of these tests show small inefficiencies,
(especially at very high frequencies seconds) - Most could not be exploited profitably by
investors because of transactions costs - (Transactions costs include the bid-ask spread
employed by specialists to defend themselves
against better-informed investors)
12Tests of return predictability
- Returns and firm characteristics
- The Size Effect (small cap have high returns)
- Market-to-book (value firms have high returns)
- Earnings-to-price (high earnings firms have high
returns) - (These could all be factor-mimicking
characteristics capturing additional dimensions
of risk )
13Tests of return predictability
- Returns and firm characteristics
- The Size Effect
- 20 extra return on very small vs. large,
1936-77 - (risk-adjusted by CAPM)
- Only affects lowest quintile of firms
- Most of it happens in January!
14Size effect
Ibbotson, cited in BKM
15Small firm portfolios
Cochrane, EP 99
16Tests of return predictability
- Returns and firm characteristics
- Why the size effect?
- Maybe beta poorly measured
- Small stocks rarely traded leads to bias in
beta estimate - Shrinking firm may have out-of-date beta
- Is CAPM a good enough risk adjuster?
- Using other risk factors (though not size) in an
APT - reduced the size factor a lot (11 to lt2)
- Key factor here risk-premium on corporate bonds
- relative to govt bonds
17Tests of return predictability
- Returns and firm characteristics
- Why the size effect?
- Transactions costs especially high
- Compensation for liquidity
- Impossible to profit from effect?
18Tests of return predictability
- Returns and firm characteristics
- The Book-to-market effect
- Gap of 8 per annum between highest and lowest
deciles of firms ranked by the ratio of their
book value to market value - (high B/M predicts high return)
- Maybe value firms are close to bankruptcy but
recovered so these firms are not a hedge for
recession, hence high yield - Value (high B/M) and Growth (low B/M) stocks
- (These terms not quite synonymous with B/M)
- The Earning-to-price effect
- But this seems to have no independent effect
after size and market-to-book taken account of. - The neglected firm effect
19Book to market effect
French, cited in BKM
20(No Transcript)
21Tests of return predictability
- Returns and firm characteristics
- Questions to ask about any of these anomalies
- Is it real? (Data-mining)
- Are we just missing another factor (especially
one correlated with investors consumption/welfare
) - (i.e. firm characteristics correlated with a
risk-factor that the market prices but we have
omitted) - Mis-estimate of beta (or other factor loadings)?
- Transactions costs?
- Risk premia changing over time?
- (CAPM/APT use stable ?s)
- Truly inefficient?