I need to download the ESG scores for the firms listed in the USA and for the past 20 years.
I also need to download the CUSIPExtended identifiers.
I also need to download the date when the ESG scores are reported.
@econ-eikon5
Please try the following code.
df, err = ek.get_data("SCREEN(U(IN(Equity(active,public,primary))/*UNV:Public*/), IN(TR.RegCountryCode,""US""), TR.TRESGScore(Period=FY0)>0, CURN=USD)", ["TR.CUSIP","TR.TRESGScore.Date","TR.TRESGScore","TR.EnvironmentPillarScore"], {'SDate':'0', 'EDate':'-19','Period':'FY0','Frq':'FY'})
The output is:
hi @econ-eikon5 ,
To get the ESG scores for the firms listed in the USA, you can use the SCREENER app to filter them here's the article on how to use the SCREENER app
import eikon as ekek.set_app_key('YOUR EIKON APP KEY')df, err = ek.get_data("SCREEN(U(IN(Equity(active,public,primary))/*UNV:Public*/), IN(TR.RegCountryCode,""US""), TR.TRESGScore(Period=FY0)>0, CURN=USD)" ,["TR.CommonName","TR.RegistrationCountry","TR.TRESGScore"])df
Then from the result above, use get_symbology function to get CUSIP from RIC
rics = df["Instrument"].to_list() # List of RICs# get CUSIP from RICric_cusip = ek.get_symbology(rics, from_symbol_type='RIC', to_symbol_type='CUSIP')ric_cusip
I hope this could help
Hi, @raksina.samasiri
many thanks for your reply.
It seems only static lastest ESG scores are downloaded, right? How to download the historical time-series of ESG scores for the US stocks? And how to download the date when they recorded. I need the time series of ESG scores, not the static values. Could you please tell me how to modify the code to download the data like the picture shows?
The first column shows the RICs of stocks and the second, third column shows the CUSIP extended and CUSIP identifiers of stocks. The fourth column shows the period End Date (not sure whether it is the date when the ESG scores are recorded). The fifth column shows the ESG values. I need to download the US stocks' ESG for the last 20 years in a final file. Could you please help me to check it?
Thanks.