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The top 50 firms from this screening algorithm are reported. The
only requirement to be included in the initial population is that the
market value exceed $100 million. Each variable is defined so that a
higher value is better. The precise definitions of the five
screening variables are given below:
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Surprise
= (actual quarterly EPS - forecast quarterly EPS)/price at the end of the
fiscal quarter, where both the actual and forecast amounts are from
FirstCall.
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ProForm Exclusions
= (GAAP EPS - actual FirstCall EPS)/total assets at the end of the fiscal
quarter. GAAP EPS is from Compustat and is diluted and before
Extraordinary Items.
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Financial Health Score
is between [0,9] and is described on
here.
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Price-to-Book
= Price / book value at fiscal quarter end. Because the
Financial Health Screen only applies to firms with the highest 20%
price-to-book ratio, I also screen on this ratio to bring more of these
firms to the top of the sort.
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Negative Accruals
= - (Net Income before Extraordinary Items - Cash from Operations)/Total
Assets at the end of the fiscal quarter.
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Residual Income Valuation
= [book value per share + 1.3*(FirstCall next 12 months EPS estimate -
.10(book value per share))]/price
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Momentum
= Six month compounded stock return. While not itself a financial
statement "fundamental," this variable appears to help isolate the winners
in the top Surprise decile (but this conclusion is based on as yet
unpublished research).
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The
multifactor screen sorts the population by each variable and gives each a
decile rank (with 1 being the top 10% and 10 being the bottom 10%).
If the data is missing it is assigned a rank of 5, with the exception of
the Financial Health Score which only applies to a subset of the
population. The reported average score on the far right of the
spreadsheet is the average of the rankings, so a smaller value is better.
See
research papers for the science behind
each of these variables.
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