首页|Recent Findings from University of Oregon Has Provided New Information about Machine Learning (How Useful Are Tax Disclosures In Predicting Effective Tax Rates? A Machine Learning Approach)
Recent Findings from University of Oregon Has Provided New Information about Machine Learning (How Useful Are Tax Disclosures In Predicting Effective Tax Rates? A Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating in Eugene, Oregon, by NewsRx journalists, research stated, “We investigate (1) how well amachine learning algorithm can predict one-year ahead effective tax rates (ETRs) and (2) which itemsin the financial statements and notes are most useful for these predictions. We compare our machinegeneratedETR predictions with those from ETRs implied by analysts’ earnings forecasts and find thealgorithm’s predictions are less biased, more precise, and explain more of the variance in future ETRs.”
EugeneOregonUnited StatesNorth and Central AmericaAlgorithmsCyborgsEmerging TechnologiesMachine LearningUniversity of Oregon
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