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Predicting Analyst Forecast Error
Abstract
This study models analyst forecast errors (AFE) using a multivariate regression based on financial fundamentals such as accruals, cash flow from operations, gross margin, and quick ratio across past, present, and future periods. We find that current-year forecast error, future quick ratio, and accruals are the most statistically significant predictors of next year's AFE.
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