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GM=
(data[sales]-data[cogs])/data[sales]
mRange_GM=
MAX(data[GM])-MIN(data[GM])
mPercentile=
PERCENTILE.INC(data[GM],PercentileOptions[m_selected_percentiles])
PercentileOptions=
{0.01,0.50,00.99}
m_selected_percentile=
SELECTEDVALUE(PercentileOptions[Value])
Assets_Lag=
VAR CurrentDate=data[date]
VAR CurrentKey=data[key]
Return
Calculate(
max(data[assets]),
Filter(
data,
data[key]=CurrentKey && data[date]=
Calculate(
max(data[date]),
Filter(
data,
data[key]=CurrentKey && data[date]<CurrentDate))))
AV_AT=
(data[assets]+data[Assets_Lag])/2
ROA_GM=
(data[sales]-data[cogs])/data[AV_AT]
mPercentile_ROA=
PERCENTILE.INC(data[ROA_GM],PercentileOptions[m_selected_percentile])
FirstDigit=
LEFT(data[sales],1)
NewTable:BenfordsLaw=
ADDCOLUMNS(GENERATESERIES(1,9,1),”Probability”,LOG10(1+ 1/[Value]))
mActualCountFirstDigit=
COUNT(data[FirstDigit])
mCountAll=
CALCULATE(COUNT(data[FirstDigit]),ALLEXCEPT(data,data[date]))
mActualPerc=
data[mActualCountFirstDigit]/data[mCountAll]
mExpectedCountFirstDigit=(inBenfordsLaw table)
[mCountAll]*AVERAGE(BenfordsLaw[Probability])