MSCI Inc. announced the launch of the next generation of MSCI Equity Factor Models. Designed to help investors better understand the factors that drive portfolio risk and performance as market conditions change, the models feature three new factors: Sustainability includes both an ESG factor and a Carbon Efficiency factor that measures a company's emissions relative to its size. Crowding uses multiple measures to assess how a stock is priced relative to its own history.

Machine Learning leverages data science and natural language processing to evaluate the relationships between different variables that impact a stock's returns. Building on MSCI's five decades of factor research and developed in consultation with some of the world's largest investors, the latest models allow institutional investors to construct portfolios across new and familiar factor dimensions; run comparisons to industry peers and benchmarks; and provide enhanced transparency into portfolio characteristics through improved handling of IPOs, improved coverage, and dynamic industry exposure analysis. The four new models include the MSCI Global Equity Factor Model and the MSCI USA Equity Factor Model, which are designed for long-term investors.

The MSCI Global Equity Factor Trading Model and the MSCI USA Equity Factor Trading Model are for investors managing strategies with shorter investment horizons. The new models will be available through multiple distribution channels, including Snowflake's Data Cloud, select third-party partners and from MSCI directly via the proprietary Barra Portfolio Manager and BarraOne® platforms. The new MSCI Equity Factor Models also evaluate pre-merger Special Purpose Acquisition Corporations (SPACs), expanding the investment opportunity set for investors as well as improving the calculation of some existing factors.