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![Page 1: Empirical Financial Economics The Efficient Markets Hypothesis Review of Empirical Financial Economics Stephen Brown NYU Stern School of Business UNSW.](https://reader036.fdocuments.net/reader036/viewer/2022062516/56649d555503460f94a32165/html5/thumbnails/1.jpg)
Empirical Financial Economics
The Efficient Markets Hypothesis
Review of Empirical Financial Economics
Stephen Brown NYU Stern School of Business
UNSW PhD Seminar, June 19-21 2006
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Major developments over last 35 years
Portfolio theory
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Major developments over last 35 years
Portfolio theoryAsset pricing theory
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Major developments over last 35 years
Portfolio theoryAsset pricing theoryEfficient Markets Hypothesis
![Page 5: Empirical Financial Economics The Efficient Markets Hypothesis Review of Empirical Financial Economics Stephen Brown NYU Stern School of Business UNSW.](https://reader036.fdocuments.net/reader036/viewer/2022062516/56649d555503460f94a32165/html5/thumbnails/5.jpg)
Major developments over last 35 years
Portfolio theoryAsset pricing theoryEfficient Markets HypothesisCorporate finance
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Major developments over last 35 years
Portfolio theoryAsset pricing theoryEfficient Markets HypothesisCorporate financeDerivative Securities, Fixed
Income Analysis
![Page 7: Empirical Financial Economics The Efficient Markets Hypothesis Review of Empirical Financial Economics Stephen Brown NYU Stern School of Business UNSW.](https://reader036.fdocuments.net/reader036/viewer/2022062516/56649d555503460f94a32165/html5/thumbnails/7.jpg)
Major developments over last 35 years
Portfolio theoryAsset pricing theoryEfficient Markets HypothesisCorporate financeDerivative Securities, Fixed
Income Analysis Market Microstructure
![Page 8: Empirical Financial Economics The Efficient Markets Hypothesis Review of Empirical Financial Economics Stephen Brown NYU Stern School of Business UNSW.](https://reader036.fdocuments.net/reader036/viewer/2022062516/56649d555503460f94a32165/html5/thumbnails/8.jpg)
Major developments over last 35 years
Portfolio theoryAsset pricing theoryEfficient Markets HypothesisCorporate financeDerivative Securities, Fixed
Income AnalysisMarket MicrostructureBehavioral Finance
![Page 9: Empirical Financial Economics The Efficient Markets Hypothesis Review of Empirical Financial Economics Stephen Brown NYU Stern School of Business UNSW.](https://reader036.fdocuments.net/reader036/viewer/2022062516/56649d555503460f94a32165/html5/thumbnails/9.jpg)
Efficient Markets Hypothesis
ln [ln | ] [ln | ]t t it t tp E p E p
[ln (ln | )] 0t t t tE p E p z
tz
which implies the testable hypothesis ...
where is part of the agent’s information set
In returns:
it
[ [ | )] 0t t t tE r E r z ln lnt t tr p p where
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Examples
Random walk model
Assumes information set is constant
Event studies
For event dummy (event)
Time variant risk premia models
zt includes X
Important role of conditioning information
Serial covariance = [ ( )] 0t t tE r E r r
Average residual = [ ( )] 0t t tE r E r
0 1 1( ) ( ) ( ) ( )t t t K K tE r X X X
1t
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Efficient Markets Hypothesis
Tests of Efficient Markets HypothesisWhat is information?Does the market efficiently process
information?Estimation of parameters
What determines the cross section of expected returns?
Does the market efficiently price risk?
[ [ | )] 0t t t tE r E r z
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Efficient Markets Hypothesis
Weak form tests of Efficient Markets Hypothesis Example: trading rule tests
Semi-strong form tests of EMH Example: Event studies
Strong form tests of EMH Example: Insider trading studies (careful about
conditioning!)
[ [ | )] 0t t t tE r E r 1
0
1t
sell
hold
buy
1
0
1t
bad news
no news
good news
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Trading Rules: Cowles 1933
Cowles, A., 1933 Can stock market forecasters forecast? Econometrica 1 309-325
William Peter Hamilton’s Track Record 1902-1929Classify editorials as Sell, Hold or Buy
Novel bootstrap in strategy space
1 41
[ [ | )] 3.5% 0 74
1 140t t t t t
sell
E r E r hold
buy
Return on DJI
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Asset pricing models: GMM paradigm
Match moment conditions with sample moments
Test model by examining extent to which data matches moments
Estimate parameters
[ [ | )] 0t t t tE r E r z
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Example: Time varying risk premia
Time varying risk premia
imply a predictable component of excess returns
where the asset pricing model imposes constraint
0 1
0 1
t t
t f t t t
X
r r X f B
B
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Estimating asset pricing models: GMM
Define residuals
Residuals should not be predictable using instruments zt-1 that include the predetermined variables Xt-1
Choose parameters to minimize residual predictability
1 1 1
1{[ ( | , ) ] } 0t t t t t t
t
z E r E r X zT
0 1( )t t f t tr r X f B
1
10t t
t
zT
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Estimating asset pricing models: Maximum likelihood
Define residuals
Choose parameters to minimize
Establishes a connection to Fama and MacBeth Resolves the “measurement error problem”
Relationship to GMM: when instruments zt include the predetermined variables Xt
21t
tT
0 1( )t t f t tr r X f B
1
1: 0t t
t
FOC zT
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Fama and MacBeth procedure
( )it ft t t i ir r f estimate
0 5 10 15 20 25 30 t
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Fama and MacBeth procedure
0 5 10 15 20 25 30 t
( )it ft t t i
t t
r r f
estimate f
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Fama and MacBeth procedure
( )it ft t t i ir r f estimate
0 5 10 15 20 25 30 t
( )it ft t t i
t t
r r f
estimate f
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The Likelihood Function
i
t tf
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The market model regression
i
t tf
i
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The Fama MacBeth cross section regression
i
t tf
i
ˆt tf
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Updating market model
i
t tf
i
ˆt tf
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Full Information Maximum Likelihood
i
t tf
i
ˆt tf
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Estimating asset pricing models: A simpler way
Time varying risks and time varying premia:
This collapses to a simpler model
which generalizes:
Investment management style analysis (GSC)
Performance benchmark issues“Pure play” definitions
0 ;kt t t Kt t Kt ktr f k K
ˆ;kt Kt kt Kt ktr r k K
jt jK Kt jtK
r w
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Conclusion
Efficient Market Hypothesis is alive and well
EMH central to recent developments in empirical Finance
EMH highlights importance of appropriate conditioning
in empirical financial research
in practical applications