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Earnings Surprise \Materiality\ as Measured by Stock Returns
by
Burgstahler, David
, Kinney, William
, Martin, Roger
in
Analytical forecasting
/ Coefficients
/ Earnings
/ Earnings forecasting
/ Earnings per share
/ Empirical evidence
/ Financial reporting
/ GAAP
/ Investors
/ Magnitude
/ Market prices
/ Materiality
/ Portfolios
/ Prices
/ Prior knowledge
/ Prior learning
/ Rates of return
/ Regression analysis
/ Staff accounting bulletins
/ Standard deviation
/ Statistical dispersion
/ Statistical median
/ Stock prices
/ Studies
2002
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Earnings Surprise \Materiality\ as Measured by Stock Returns
by
Burgstahler, David
, Kinney, William
, Martin, Roger
in
Analytical forecasting
/ Coefficients
/ Earnings
/ Earnings forecasting
/ Earnings per share
/ Empirical evidence
/ Financial reporting
/ GAAP
/ Investors
/ Magnitude
/ Market prices
/ Materiality
/ Portfolios
/ Prices
/ Prior knowledge
/ Prior learning
/ Rates of return
/ Regression analysis
/ Staff accounting bulletins
/ Standard deviation
/ Statistical dispersion
/ Statistical median
/ Stock prices
/ Studies
2002
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Do you wish to request the book?
Earnings Surprise \Materiality\ as Measured by Stock Returns
by
Burgstahler, David
, Kinney, William
, Martin, Roger
in
Analytical forecasting
/ Coefficients
/ Earnings
/ Earnings forecasting
/ Earnings per share
/ Empirical evidence
/ Financial reporting
/ GAAP
/ Investors
/ Magnitude
/ Market prices
/ Materiality
/ Portfolios
/ Prices
/ Prior knowledge
/ Prior learning
/ Rates of return
/ Regression analysis
/ Staff accounting bulletins
/ Standard deviation
/ Statistical dispersion
/ Statistical median
/ Stock prices
/ Studies
2002
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Earnings Surprise \Materiality\ as Measured by Stock Returns
Journal Article
Earnings Surprise \Materiality\ as Measured by Stock Returns
2002
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Overview
Ranked earnings surprise portfolios formed from First Call files for 1992-97 are used to assess the annual earnings surprise magnitude for an individual firm sufficient to expect a \"significant market reaction.\" We find that, for an individual firm, the maximum probability of a gain from trading on prior knowledge of any surprise magnitude is .622. The lack of probable trading gains is due to the S-shaped surprise/return relation and the large variance of returns for a given magnitude of surprise. In turn, we find that the S-shape is related empirically to the dispersion of analyst forecasts. Thus, factors underlying dispersion differences are related to the importance or \"materiality\" of earnings surprise as measured by stock returns and explain at least part of the S-shaped surprise/return relation.
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