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Financials & Equities in Refinitiv Workspace/Datastream and Compustat: the basics

Financials & Equities in Refinitiv Workspace/Datastream and Compustat: the basics

This support session is intended for students Economics and Business Administration who consider performing an emperical study with company specific, stock market, investment or fixed income data for their BA or MA thesis.

Related LibGuide: Library Guide Business Administration & Economics by Norma Fötsch

Date:
Tuesday, March 7, 2023
Time:
12:20pm - 1:20pm
Location:
EOS 01.350 Elinor Ostrom Building (NSM)
Campus:
Nijmegen School of Management
Faculty:
  Nijmegen School of Management  
Categories:
  Other  
Registration has closed.

LSEG Refinitiv Workspace / Datastream is the flagship among the economic databases of this university. A wide range of variables is available on e.g. equity, stock & money markets, accounting data, options, futures, bonds and much more.

The databases Compustat Global & North America provide company financials for listed firms worldwide. A WRDS account is necessary in order to use these databases and can be requested here: https://wrds-www.wharton.upenn.edu/register/. Students choose a 'Masters' account. See for more information the Library Guide Business & Economics (https://libguides.ru.nl/BE).

In this support session you will be introduced to some of the most important basic elements in the process of retrieving data from Refinitiv Workspace and Compustat. We will focus on financials and index data, but the process is the same for many other data types as well.

  • understand which data types can be found where in Refinitiv Workspace and Compustat;
  • retrieve financial company data in Excel;
  • work with more more advanced requests to find the historical constituents of an index (e.g. the AEX);
  • and retrieve historical stock prices and index returns (Refinitv Workspace).

The workshop will take place on campus in room EOS 01.350 (Elinor Ostrom building). Duration: up to 1 hour. Language spoken: English.

Teacher(s)

Profile photo of Noah Grim
Noah Grim

Information Specialist Research Data | Nijmegen School of Management | EOS N 01.545

noah.grim@ru.nl

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