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earn low future returns composing of both immediate-forecast-revision responses and post-forecast-revision price drifts. We … than 60% of the analyst forecast revisions and 30% of the revision-related market responses …
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We selectively review recent advancements in research on predictive models of earnings and returns. We discuss why applying statistical, econometric, and machine learning advancements to forecasting earnings and returns presents difficult challenges. In the context of these challenges, we...
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This study uses publicly available information for European firms and recent machine learning algorithms to predict future revenues in an IFRS context, examining the benefits of predictive analytics for both preparers and users of these financial projections. For this purpose, the study...
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