ROA¶

function

frds.measures.corporate.roa(data, use_lagged_total_asset=False)

ROA

Income before extraordinary items scaled by total assets

$ROA_{i,t} = \frac{IB_{i,t}}{AT_{i,t}}$

where $IB$ and $AT$ are from Compustat Fundamentals Annual WRDS.COMP.FUNDA.

If data is a Fundamentals Quarterly dataset:

$ROA_{i,t} = \frac{IBQ_{i,t}}{ATQ_{i,t}}$

Parameters

data (Union[Funda, Fundq]) — Input dataset
use_lagged_total_asset (bool, optional) — Use lagged total assets. Defaults to False.

Returns (Union[pd.Series, None])

ROA

Examples

>>> from frds.data.wrds.comp import Funda
>>> from frds.io.wrds import load
>>> from frds.measures.corporate import roa
>>> FUNDA = load(Funda)
>>> roa(FUNDA)
GVKEY   DATADATE
001000  1961-12-31         NaN
        1962-12-31         NaN
        1963-12-31         NaN
        1964-12-31    0.027542
        1965-12-31   -0.085281
                        ...
001004  1982-05-31    0.010778
        1983-05-31    0.025115
        1984-05-31    0.032697
        1985-05-31    0.058370
        1986-05-31    0.058027
Name: ROA, Length: 100, dtype: float64

ROA¶

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