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IHS Markit Deploys Machine Learning to Expand Dividend Forecasting Tool

IHS Markit has implemented advanced analytics and machine learning technology to double the number of companies covered in its dividend forecasting tool. The expansion means that 28,000 stocks are now covered in more than 90 markets globally, providing up to five years of dividend forecast data in each stock. The tool processes a range of inputs and proxies such as company guidance, historical patterns, industry and peer group trends, and consensus forecasts. The new model to expand coverage of the tool was developed with IHS Markit’s data science team, using machine learning technology to apply advanced methods of forecasting at increased scale and scope to process datasets.

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