Robotics & Machine Learning Daily News2024,Issue(MAY.22) :38-38.

New Findings on Machine Learning from University of Sao Paulo Summarized (Foreca sting Financial Market Structure From Network Features Using Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :38-38.

New Findings on Machine Learning from University of Sao Paulo Summarized (Foreca sting Financial Market Structure From Network Features Using Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Sao Carlos, Br azil, by NewsRx correspondents, research stated, “We propose a model that foreca sts market correlation structure from link- and node-based financial network fea tures using machine learning. For such, market structure is modeled as a dynamic asset network by quantifying time-dependent co-movement of asset price returns across company constituents of major global market indices.”

Key words

Sao Carlos/Brazil/South America/Cybor gs/Emerging Technologies/Finance and Investment/Investment and Finance/Machi ne Learning/University of Sao Paulo

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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