I want to do a esg performance analye and i want to measure the performance with tobins q, but i cant find it by refinitiv eikon
@christopher.almeling Thanks for your question - you can calculate Tobin's Q ratio using the following:
import refinitiv.data as rd
rd.open_session()
df = rd.get_data( universe=['VOD.L'], fields=['TR.F.MktCap.date','TR.F.MktCap','TR.F.TotAssets'], parameters = {'SDate': -10,'EDate':0,'FRQ':'FY'})df['TobinQ'] = df['Market Capitalization'] / df['Total Assets']df
I hope this can help.
Hello @christopher.almeling
The Python source code given by my colleague is based on the Refinitiv Data (RD) Library for Python API. You can run it on the standalone environment (the Eikon/Workspace must be opened on the same machine) or via the CodeBook App in Eikon/Workspace.CodeBook is the cloud-hosted Jupyter Notebook development environment for Python scripting from the application. The CodeBook is natively available in Refinitiv Workspace and Eikon as an app (**no installation required!!**), providing access to Refinitiv APIs and other popular Python libraries that are already pre-installed on the cloud.
Hope this helps.
Hi, I followed your instruction but for 40 different companies. Eventually I got this output but I cannot figure out a way to export the entire table to excel. Any tips. thank you so much
