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and the Cross-Section of Expected Returns
by
Liu, Yan
, Harvey, Campbell R.
, Zhu, Heqing
in
1967-2032
/ Common stock
/ Data mining
/ Economic research
/ Economics
/ Equity
/ Expected returns
/ False negative errors
/ Financial economics
/ Hypothesis testing
/ Information retrieval
/ Investment risk
/ P values
/ Prices
/ Significance level
/ Special Section: Meta-Analysis of Market Anomalies
/ Studies
/ Working papers
2016
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and the Cross-Section of Expected Returns
by
Liu, Yan
, Harvey, Campbell R.
, Zhu, Heqing
in
1967-2032
/ Common stock
/ Data mining
/ Economic research
/ Economics
/ Equity
/ Expected returns
/ False negative errors
/ Financial economics
/ Hypothesis testing
/ Information retrieval
/ Investment risk
/ P values
/ Prices
/ Significance level
/ Special Section: Meta-Analysis of Market Anomalies
/ Studies
/ Working papers
2016
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
and the Cross-Section of Expected Returns
by
Liu, Yan
, Harvey, Campbell R.
, Zhu, Heqing
in
1967-2032
/ Common stock
/ Data mining
/ Economic research
/ Economics
/ Equity
/ Expected returns
/ False negative errors
/ Financial economics
/ Hypothesis testing
/ Information retrieval
/ Investment risk
/ P values
/ Prices
/ Significance level
/ Special Section: Meta-Analysis of Market Anomalies
/ Studies
/ Working papers
2016
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Journal Article
and the Cross-Section of Expected Returns
2016
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Overview
Hundreds of papers and factors attempt to explain the cross-section of expected returns. Given this extensive data mining, it does not make sense to use the usual criteria for establishing significance. Which hurdle should be used for current research? Our paper introduces a new multiple testing framework and provides historical cutoffs from the first empirical tests in 1967 to today. A new factor needs to clear a much higher hurdle, with a t-statistic greater than 3.0. We argue that most claimed research findings in financial economics are likely false.
Publisher
Oxford University Press,Oxford Univ. Press,Oxford Publishing Limited (England)
Subject
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