Linking Within Refinitiv (Thomson Reuters)

How to link across different data products within the Refinitiv (Thomson Reuters) system

Refinitiv (Thomson Reuters) Data Map

Refinitiv (formerly known as Thomson Reuters) is a comprehensive data vendor that carries a wide range of data, including but not limited to pricing, fundamental, and institutional data. In addition, Refinitiv has been actively acquiring outside data products. As a result of these recent aquisitions, Refinitiv can be a relatively complicated database for researchers to maneuver.

The Refinitiv database on WRDS platform carries the following data products:

  • Datastream: global pricing data
  • Insiders: insider activity data reported through SEC forms 3, 4, 5, and 144
  • Institutional Holdings - S34: holdings data collected from SEC form 13f
  • Lipper Hedge Fund (TASS): fund performance data
  • Mutual Fund Holdings - S12: mutual fund characteristics, holdings, and performance data
  • Ownership: global institutional ownership data
  • Refinitiv ESG: company-level ESG information based on publicly-reported data
  • SDC: historical M&A and new issues data
  • Worldscope: global fundamental data
  • WRDS-Reuters DealScan: global commercial loan data

As each data product provides unique empirical data, the products tend to have different identification systems. For instance, in Datastream's equity pricing data piece, Datastream Code (DsCode) is used as a permanent identifier to track a security, while in WorldScope, the Worldscope Permanent ID (item6105) is used to track down a company. Therefore, to facilitate empirical research, it is crucial to have an accurate and efficient way of mapping across all the data products under the Refinitv umbrella.

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Security Master and Map Tables

Refinitiv provides a suite of "helper" datasets that enable tracking down a security over time and mapping it across various data vendors. The common identifier that links across all different Refinitiv data products is the SecCode. The files are located on WRDS server at: /wrds/tfn/sasddata/common/. Researchers can review the Database Schema for Refinitiv Quantitative Analytics Core Tables for an in-depth description on how to understand these support tables. We will discuss briefly how to use two of the main support tables below.

SQL View

SecMstrX and GSecMstrX are security master tables for the North American and the Global universe respectively. These tables are structured in a similar manner. In addition, the Refinitiv team also developed a SQL view, vw_securityMasterX, that pre-joins the information from SecMstrX and GSecMstrX.

Similarly, Refinitiv pre-joined the SecMapX and GSecMapX into SQL view vw_securityMappingX for easy access.

For example, the code snippet below shows how to look up all US companies that contain the phrase "APPLE " in their company name string.

Please make sure to select "SAS" in the kernel list when trying to run the code in Jupyter Notebook environment.

Jupyter Notebook: LinkwithinRefinitiv_part1.ipynb Download

The results return close to 60 entities that meet the conditions above. A quick glance will help us find the record that is associated with the blue chip giant, Apple.

SecCode Id typ Sedol PrevSedol Sedol2 PrevSedol2 Cusip PrevCusip Isin Name Country
6027 AAPL 1 204625 3783310 US0378331005 APPLE

With the SecCode information, we can then easily look up all identifiers for Apple used by different data products under the Refinitiv umbrella.

Jupyter Notebook: LinkwithinRefinitiv_part2.ipynb Download