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Reference Data

Global Industry Classification Standard (GICS)

An overview of Global Industry Classification Standard (GICS)  

Global Industry Classification Standard (GICS) is a common global classification standard used by thousands of market participants across all major groups involved in the investment process: asset managers; brokers (institutional and retail); custodians; consultants; research teams; and stock exchanges. GICS is a four-tiered, hierarchical industry classification system. It consists of 11 sectors, 24 industry groups, 69 industries, and 158 sub-industries. The GICS methodology is widely accepted as an industry analytical framework for investment research, portfolio management, and asset allocation.

MSCI and S&P Dow Jones Indices jointly developed GICS, seeking to offer an efficient investment tool to capture the breadth, depth, and evolution of industry sectors. GICS Direct is a global database maintained jointly by MSCI and S&P Dow Jones Indices.

Key facts 

  • Data format
    SQL
  • Delivery mechanism
    Deployed/Onsite Servers
  • Publishing frequency
    Daily

Features & Benefits

What you get with Global Industry Classification Standard (GICS)  

  • Global industry coverage is comprehensive and precise. The classification system is comprised of over 58,000 trading securities across 125 countries, covering approximately 95% of the world’s equity market capitalization.
  • The structure correctly reflects the current state of industries in the equity investment universe.
  • A flexible structure offers four levels of analysis, ranging from the most general sector to the most specialized sub-industry.
  • Annual reviews are conducted by MSCI and S&P Dow Jones Indices to ensure that the structure evolves to remain fully representative of global markets.

How it works

 Accessing the dataset

This dataset can be used by the following products. Talk to us to learn more about different packages and offerings.

Refinitiv Quantitative Analytics

Refinitiv Quantitative Analytics – a powerful, scalable platform to manage, maintain and integrate quantitative analysis and investment data.
Data Formats:
SQL
Delivery Mechanisms:
Deployed/Onsite Servers
Publishing Frequencies:
Daily

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