MSCI Equity Factor Models
收藏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
搜集汇总
数据集介绍

背景与挑战
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。
以上内容由遇见数据集搜集并总结生成



