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lukas.kleemann avatar image
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How to screen for companies that do not have an ESG score?

How can I adjust my screener search:

screener = f"SCREEN(U(IN(Equity(active,public,primary))/*UNV:Public*/), IN(TR.RegCountryCode,{country}), TR.TRESGScore(Period=FY{i})>0, CURN=USD"

which screens for companies that have an ESG score for a screen only returning companies that do not have an ESG score?

I have tried:

TR.TRESGScore(Period=FY{i})<=0
TR.TRESGScore(Period=FY{i})<0
TR.TRESGScore(Period=FY{i})==<NA>
TR.TRESGScore(Period=FY{i})=='<NA>'

But could not figure out a way to screen for companies NOT having an ESG score. Is there any possibility to do that?

#product#contentpython apiscreenerjupyter-notebook
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Jirapongse avatar image   Jirapongse

@lukas.kleemann

Hi,

Thank you for your participation in the forum.

Is the reply below satisfactory in answering your question?

If yes please click the 'Accept' text next to the reply. This will guide all community members who have a similar question.

Otherwise please post again offering further insight into your question.

Thanks,

AHS

1 Answer

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jonathan.legrand avatar image
5.8k ●21 ●2 ●6

Hi @lukas.kleemann ,

Having a look at this article, and using this python file, I managed to make the following work:

from dataquery import *
import refinitiv.data as rd
try:  # The following libraries are not available in Codebook, thus this try loop
    rd.open_session(
        config_name="C:\\Example.DataLibrary.Python-main\\Configuration\\refinitiv-data.config.json",
        name="desktop.workspace")
except:
    rd.open_session()
query = SCREEN.express.universe(
    Equity(active=True, public=True, primary=True)) \
        .conditions(IN('TR.RegCountryCode', 'US'), FLOOR('TR.TRESGScore')) \
            .currency('USD').query
df = rd.get_data(
    query,
    'TR.TotalRevenue')
df


Is this what you were after?

1687003282851.png


FYI: the syntax object was:
SCREEN(U(IN(Equity(primary,public,active))),IN(TR.RegCountryCode,US),FLOOR(TR.TRESGScore),CURN=USD)


1687003282851.png (21.0 KiB)
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lukas.kleemann avatar image lukas.kleemann
@jonathan.legrand Thank you for your suggestion! I will test it out and see if the resulst is what I am looking for.

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