How to integrate ESG data into investment decisions
Hi,
I am reading the research article: How to integrate ESG data into investment decisions.
I do not understand:
df,err = ek.get_data('{}{}({}-01-01)'.format('0#', index, year), fields=['TR.TRESGScore'], parameters={'SDate': '{}-01-01'.format(year), 'Period': 'FY0'})
We do not define the "year" before. How to understand the year in this code? When I run the code, python reports errors.
Thanks
Tagged:
0
Best Answer
-
Hi @c.xue
The full source for the above article is available as a notebook at Example.EikonAPI.Python.DiversityAndInclusion - as per the link at the top and bottom of the article
The code snippet you quote above is actually from a function in the above notebook:
def getDataForYear(year):
display('Getting data for: {}'.format(year))
# get index constituents at the begining year
df,err = ek.get_data('{}{}({}-01-01)'.format('0#', index, year), fields=['TR.TRESGScore'], parameters={'SDate': '{}-01-01'.format(year), 'Period': 'FY0'})
# filter out the instruments based on ESG ratings
subset = getSubset(df)
# get the performance data for this subset
df2,err = ek.get_data(subset, fields=['TR.CLOSEPRICE.date', 'TR.CLOSEPRICE'], parameters={'SDate': '{}-01-01'.format(year), 'EDate': '{}-01-01'.format(year + 1), 'Frq':'CQ'})
df2 = df2.dropna()
# consolidate the price data for instruments
alphaList = []
ser = df2['Date'].value_counts()
for x in ser[ser > 5].index:
ser = df2.loc[df2['Date'] == x].sum()
alphaList.append({'Date': x, 'Close Price': ser['Close Price']})
return alphaList0
Categories
- All Categories
- 6 AHS
- 39 Alpha
- 161 App Studio
- 4 Block Chain
- 4 Bot Platform
- 16 Connected Risk APIs
- 47 Data Fusion
- 30 Data Model Discovery
- 608 Datastream
- 1.3K DSS
- 577 Eikon COM
- 4.9K Eikon Data APIs
- 7 Electronic Trading
- Generic FIX
- 7 Local Bank Node API
- Trading API
- 2.7K Elektron
- 1.3K EMA
- 236 ETA
- 519 WebSocket API
- 33 FX Venues
- 10 FX Market Data
- 1 FX Post Trade
- 1 FX Trading - Matching
- 12 FX Trading – RFQ Maker
- 5 Intelligent Tagging
- 2 Legal One
- 20 Messenger Bot
- 2 Messenger Side by Side
- 9 ONESOURCE
- 7 Indirect Tax
- 59 Open Calais
- 264 Open PermID
- 39 Entity Search
- 2 Org ID
- PAM
- PAM - Logging
- 8.4K Private Comments
- 6 Product Insight
- Project Tracking
- ProView
- ProView Internal
- 20 RDMS
- 1.4K Refinitiv Data Platform
- 370 Refinitiv Data Platform Libraries
- 3 Refinitiv Due Diligence
- LSEG Due Diligence Portal API
- 3 Refinitiv Due Dilligence Centre
- Rose's Space
- 1.1K Screening
- 18 Qual-ID API
- 13 Screening Deployed
- 23 Screening Online
- 10 World-Check Customer Risk Screener
- 990 World-Check One
- 44 World-Check One Zero Footprint
- 45 Side by Side Integration API
- Test Space
- 3 Thomson One Smart
- 1.2K TR Internal
- Global Hackathon 2015
- 2 Specialists Who Code
- 10 TR Knowledge Graph
- 150 Transactions
- 142 REDI API
- 1.7K TREP APIs
- 4 CAT
- 21 DACS Station
- 117 Open DACS
- 1.1K RFA
- 103 UPA
- 172 TREP Infrastructure
- 224 TRKD
- 886 TRTH
- 5 Velocity Analytics
- 5 Wealth Management Web Services
- 60 Workspace SDK
- 9 Element Framework
- 5 Grid
- 13 World-Check Data File
- Yield Book Analytics
- 46 中文论坛