Robotics & Machine Learning Daily News2024,Issue(Jan.17) :34-34.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.17) :34-34.

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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Abstract

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.”

Key words

Eugene/Oregon/United States/North and Central America/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/University of Oregon

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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