Best Dividend Datasets to use in 2024
Dividend datasets refer to structured and comprehensive collections of information related to dividend payments made by companies to their shareholders. These datasets typically include details such as the company name, dividend amount, dividend yield, ex-dividend date, payment date, and other relevant information. Dividend datasets are valuable for investors, financial analysts, and researchers seeking to analyze dividend trends, assess the financial health of companies, and make informed investment decisions. By providing access to dividend datasets, the Datarade Marketplace enables users to easily discover, evaluate, and acquire the data they need to gain insights into dividend payments across various industries and markets.
Recommended Dividend Datasets
Woodseer Dividend Forecast Data
Woodseer ETF Dividend Forecast Data
EDI Woodseer Dividend Forecasting Global (25k+ securities, 1000+ indices)
Historical Dividends API by Finnworlds
Tradefeeds Historical Dividends API
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Woodseer Dividend Index Points (DIPs)
EDI Global Corporate Actions Data | Listed Securities incl. Dividends, Splits, Spin-offs, Mergers | 60 Event Types Covered | Historical data avail.
EDI Global Corporate Actions Data for Shares | Stocks | Equities | 60 Event Types incl. Dividends, Splits, Spin-offs and more | Historical Data avail.
Wall Street Horizon Corporate Event Data - Earnings calendar, Dividends, Interim Calendar, Corporate Actions
InfoTrie Corporate Data - 200K+ companies actions, events (merger & acquisition), historical insights globally and real-time API access
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What are dividend datasets?
Dividend datasets refer to structured and comprehensive collections of information related to dividend payments made by companies to their shareholders. These datasets typically include details such as the company name, dividend amount, dividend yield, ex-dividend date, payment date, and other relevant information. -
Who can benefit from dividend datasets?
Dividend datasets are valuable for investors, financial analysts, and researchers seeking to analyze dividend trends, assess the financial health of companies, and make informed investment decisions. -
What information is included in dividend datasets?
Dividend datasets typically include information such as the company name, dividend amount, dividend yield, ex-dividend date, payment date, and other relevant details. The datasets may also provide additional information such as the company’s industry, market capitalization, and historical dividend data. -
How can dividend datasets be used?
Dividend datasets can be used to analyze dividend trends, compare dividend payments across companies and industries, assess the financial health of companies, and make informed investment decisions. They can also be used for research purposes, such as studying the impact of dividends on stock prices or analyzing dividend policies of different companies. -
Where can I find dividend datasets?
The Datarade Marketplace provides access to a wide range of dividend datasets from various data providers. Users can easily discover, evaluate, and acquire the data they need to gain insights into dividend payments across various industries and markets. -
How can I evaluate the quality of dividend datasets?
When evaluating the quality of dividend datasets, it is important to consider factors such as the accuracy and completeness of the data, the frequency of updates, the reputation and reliability of the data provider, and any additional features or value-added services offered with the dataset.