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MSCI Equity Factor Models

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Snowflake2024-03-20 更新2024-05-01 收录
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资源简介:
MSCI factor models enable investors to build more adaptive and resilient portfolios by understanding and managing risk and return through a modern investing lens, including factors such as sustainability, crowding and machine learning. These models help investors implement and measure factor-based strategies and communicate their performance showcasing a differentiated approach. Informed by decades of factor research and developed with our clients, these innovative models are built on the Barra legacy of factor models. Tables in the dataset include: - Asset Exposures - Asset Specific Volatility - Asset Universe - Asset Market Data - Factor Covariance - Factor Returns - Factor Portfolios Fields Included: - Barra ID - Factor - Model - Date of Data - Beta - Factor / Asset Returns - Factor / Asset Volatility - Asset to Factor Exposure - Asset Weight in Factor Portfolio - Asset Descriptor Value
提供机构:
MSCI
创建时间:
2024-02-29
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背景概述
MSCI股票因子模型数据集提供资产暴露度、波动率、市场数据等多维度表格,包含9类核心字段,帮助投资者通过因子分析构建投资组合。该模型整合了可持续性、拥挤度等现代投资视角,建立在Barra因子模型传统基础上。
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