Robotics & Machine Learning Daily News2024,Issue(Dec.3) :177-177.

Researchers at SRM Institute of Science and Technology Report New Data on Machin e Learning (Implementation of Machine Learning In l -based Sparse Sharpe Ratio P ortfolio Optimization: a Case Study On Indian Stock Market)

SRM科学技术研究所的研究人员报告了机器学习的新数据(机器学习在基于l的稀疏夏普比率优化中的实现:印度股票市场的案例研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :177-177.

Researchers at SRM Institute of Science and Technology Report New Data on Machin e Learning (Implementation of Machine Learning In l -based Sparse Sharpe Ratio P ortfolio Optimization: a Case Study On Indian Stock Market)

SRM科学技术研究所的研究人员报告了机器学习的新数据(机器学习在基于l的稀疏夏普比率优化中的实现:印度股票市场的案例研究)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。据新闻报道NewsRx记者从印度泰米尔纳德邦报道,研究称,“构建最佳通过对投资组合的挖掘和选择,计算了多个投资组合的最佳组合由于其指数复杂性具有挑战性。本文考虑了AB OVE问题,并证明了一种新的AB OVE算法基于稀疏minimax夏普比率模型的有效投资组合选择方法通过UNSUPVIS ED机器学习方法进行股票。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Tamil Nadu, India, by NewsRx journalists, research stated, “Constructing the optimalportfolio by dete rmining and selecting the best combinations of multiple portfolios is computatio nallychallenging due to its exponential complexity. This paper considers the ab ove issue and demonstrates anefficient portfolio selection method based on the sparse minimax Sharpe ratio model involving pre-selectedstocks by an unsupervis ed machine learning approach.”

Key words

Tamil Nadu/India/Asia/Cyborgs/Emergi ng Technologies/Finance and Investment/Investment and Finance/Machine Learnin g/SRM Institute of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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