首页|New Machine Learning Study Results Reported from Bond University (Quantitative P ortfolio Management: Review and Outlook)
New Machine Learning Study Results Reported from Bond University (Quantitative P ortfolio Management: Review and Outlook)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Robina, Austra lia, by NewsRx correspondents, research stated, "This survey aims to provide ins ightful and objective perspectives on the research history of quantitative portf olio management strategies with suggestions for the future of research." Our news editors obtained a quote from the research from Bond University: "The r elevant literature can be clustered into four broad themes: portfolio optimizati on, risk-parity, style integration, and machine learning. Portfolio optimization attempts to find the optimal trade-off of future returns per unit of risk. Risk -parity attempts to match the exposure of various asset classes such that no sin gle asset class dominates portfolio risk. Style integration combines risk factor s on a security level such that rebalancing differences cancel out."
Bond UniversityRobinaAustraliaCy borgsEmerging TechnologiesMachine LearningRisk and Prevention
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