Dividend Forecasting Factors

The Dividend Forecasting Factors dataset within Alpha Signals is a suite of quantitative factors built using underlying data from the Dividend Forecasting dataset. The forecasts, provided by a team of S&P Global analysts with global expertise, are updated daily using a rigorous methodology based on fundamental analysis and the latest market news, as well as a broad range of inputs enhanced by proprietary data.

This dataset complements traditional forecasting measures such as earning consensus and growth forecasts, and also provides a forward-looking view compared to reported dividends. Forward-looking quantitative factors provide users with key information to incorporate in their investment strategies.

This dataset includes:

  • Forecasted dividend yield over the next 1- and 2-year periods
  • Forecasted dividend payout ratios over the next 1- and 2-year periods
  • Growth expected in the dividend yield and payout ratios

Vendor information

At S&P Global Market Intelligence, we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
  • Primary Entity TypeCompany
  • Coverage Count8,000
  • Geographic CoverageGlobal
  • Industry CoverageConsumer, Energy and Utilities, Financials, Healthcare, Industrials, Materials, Real Estate, Technology, Media & Telecommunications
  • History Initiated2011
  • Earliest Significant Coverage2011
  • Point In TimeYes
  • Point In Time DetailsDaily point-in-time factor values
  • Data SourceDividend Forecasting Dataset
  • Field Count10s
  • Delivery ChannelCloud, Desktop, Feed
  • Delivery PlatformAlpha Signals, Alpha Signals Web Portal, S&P Capital IQ Workbench, SFTP, Snowflake, Xpressfeed™
  • Reporting FrequencyDaily
  • Dataset LatencyDaily
  • Dataset Size (GB)3

Sample Data

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Data Dictionary

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