ETF Style Classifications
收藏Snowflake2022-04-21 更新2024-05-01 收录
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资源简介：
The ETF Style Classifications dataset includes ETF classifications as well as over 40 standardized descriptive characteristics such as benchmark indices, expense ratio, leverage, and sector emphasis for over 12,000 global ETFs and ETNs.
Leverage ETF classifications to group ETFs by asset class, to screen based on specific characteristics such as benchmark index, leverage or inverse ETFs. This data can also be utilized for compliance purposes to identify ETFs that may restricted. The inclusion of not only the ETF classification but all the additional descriptive items allows for in-depth analysis into an ETF or ETN.
This dataset includes:
- ETF classifications based on asset class
- Geographic mandate
- Investment style
- Sector emphasis
- Management style
- Daily updates
ETF风格分类数据集涵盖全球12000余只交易型开放式指数基金（Exchange Traded Fund，ETF）及交易所交易票据（Exchange Traded Note，ETN）的分类信息，以及四十余项标准化描述特征，包括基准指数、费用比率、杠杆属性与行业侧重等。
可依托该数据集的ETF分类信息，按资产类别对ETF进行分组，并基于基准指数、杠杆属性或反向ETF等特定特征开展筛选。该数据还可用于合规审查场景，识别可能受到监管限制的ETF产品。除基础分类信息外，数据集还包含全部附加描述项，支持对单只ETF或ETN进行深度分析。
本数据集包含以下内容：
- 基于资产类别的ETF分类
- 地域投资范围
- 投资风格
- 行业侧重
- 管理风格
- 每日更新
提供机构：
S&P Global Market Intelligence
创建时间：
2022-04-21
