遇见数据集

ETF Factors

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Snowflake2026-06-18 更新2026-06-19 收录
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资源简介:

The Exchange Traded Funds (ETF) Factors dataset, in the Alpha Signals library, provides investors with a unique point-in-time view of fundamentals across 4,000 global ETFs. By combining ETP Composition Data from S&P Global’s ETF & Benchmarking Solutions with the point-in-time Alpha Factor Library dataset, the Alpha Signals team has developed key factors traditionally used by equity investors to build factor investing strategies. With the growing popularity of ETFs over the past decade, these factors play a crucial role for ETF investors and market makers. Firms can leverage this data for systematic strategies, including investing in statistical arbitrage or multi-factor investment strategies. Furthermore, this data supports exposure analysis, providing dynamic insights into ETF exposure to different factors and themes through daily factor updates. Additionally, ETF Factors helps with monitoring macro themes by using ETFs as proxies for sectors, countries, and other economic indicators. This dataset can also support risk management for ETF market makers and issuers. This dataset includes: - 35 Factors Covering Traditional Strategy Themes: Analyst expectations, capital efficiency, earnings quality, historical growth, price momentum, size, valuation, and volatility. - Point-in-Time Quantitative Factors: Historical time series by combining point-in-time views of ETF constituents and their weights, allowing investors to track how these key factors have evolved over time.

创建时间:
2026-06-18
原始信息汇总

数据集名称

ETF Factors

提供商

S&P Global Market Intelligence

数据集简介

该数据集属于Alpha Signals库,为投资者提供了横跨全球4000只ETF的独特“基本面”时点视图。它通过结合S&P Global的ETP组成数据与时点Alpha因子库,开发了传统上由股票投资者用于构建因子投资策略的关键因子。

核心功能与应用

  • 量化分析:提供时点定量因子,支持投资者开发、回测和执行跨数千只ETF的系统性多因子交易模型和统计套利策略。
  • 风险分析:支持稳健的风险管理和敞口分析,为ETF做市商和发行人提供关于投资组合在不同市场主题下敞口的动态每日洞察。
  • 基本面分析:通过聚合成分股数据,将盈利质量、估值、资本效率等传统基本面指标直接应用于全球4000只ETF。

数据集包含内容

  • 35个因子,涵盖传统策略主题:分析师预期、资本效率、盈利质量、历史增长、价格动能、规模、估值和波动率。
  • 时点定量因子:提供历史时间序列,通过结合ETF成分股及其权重的时点视图,追踪关键因子随时间的变化。

业务类别

  • 金融
  • 基本面分析
  • 量化分析
  • 风险分析

更新频率

每日(Daily)

联系方式

  • 销售与支持邮箱:SnowflakeMarketplace@spglobal.com
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