Robotics & Machine Learning Daily News2024,Issue(Apr.9) :77-78.

New Findings on Machine Learning Described by Investigators at Minzu University of China (From Fundamental Signals To Stock Volatility: a Machine Learning Appro ach)

Robotics & Machine Learning Daily News2024,Issue(Apr.9) :77-78.

New Findings on Machine Learning Described by Investigators at Minzu University of China (From Fundamental Signals To Stock Volatility: a Machine Learning Appro ach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originating fromBeijing, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Enriched with a large set of acco unting-based characteristics, we find that the aggregate fundamental risk, const ructed with severalmachine learning algorithms, predicts stock return volatilit y. We find that nonlinear models, especiallyneural networks, outperform linear methods and single characteristics and attribute the improvements inprediction accuracy to their ability to capture nonlinear patterns.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Minzu University of China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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