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

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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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.”

Sao CarlosBrazilSouth AmericaCybor gsEmerging TechnologiesFinance and InvestmentInvestment and FinanceMachi ne LearningUniversity of Sao Paulo

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.22)