The Data Arbitrage with Proprietary Dividend Forecasts blueprint was first introduced in the Quantamental Research & Solutions Whitepaper, Data Arbitrage with Proprietary Dividend Forecasts – Historically Precise Updates Led to U.S. Outperformance.

Sell-side forecasts tend to focus on the top- and bottom-line and are often slow to reflect new dividend policies. Empirical results have shown that our Dividend Forecasting dataset has historically captured these dividend revisions in both a precise and timely manner, providing investors with an informational edge.

This paper and workflow detail how practitioners can leverage the dataset for equity investing in the U.S. market when the in-house FQ1 forecasts diverge from their sell-side counterparts.

This Blueprint includes:

• Dividend Forecasting: This dataset contains forecasts for dividend amounts and dates with global coverage on stocks, ETFs, and ADRs for dividends up to five years ahead. The dataset is developed by a dedicated global team of dividend analysts, who deliver daily updates to reflect the latest market and company information.
• S&P Capital IQ Estimates: This dataset consists of comprehensive global estimates based on projections, models, analysis, and research. The key relevant package of data in this notebook is the Consensus Estimates, which contains aggregated analyst estimates of dividends.
• S&P Capital IQ Workbench: A web-based notebook environment that allows you to perform data analysis or build models using collaborative notebooks that support multiple languages, built-in data visualizations, and automatic versioning.