Researchers at Central University of Finance and Economics Target Machine Learni ng (Information Spillover and Cross-predictability of Currency Returns: an Analy sis Via Machine Learning)

中央财经大学的研究人员目标机器学习（货币收益的信息溢出和交叉可预测性：基于机器学习的分析）

Robotics & Machine Learning Daily News2024，Issue(Dec.2) ：138-139.

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Researchers at Central University of Finance and Economics Target Machine Learni ng (Information Spillover and Cross-predictability of Currency Returns: an Analy sis Via Machine Learning)

中央财经大学的研究人员目标机器学习（货币收益的信息溢出和交叉可预测性：基于机器学习的分析）

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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-机器学习的新研究是一篇报道的主题。根据NewsRx编辑的《中国人民日报》北京的新闻报道，研究称：“这篇论文从新闻文本分析看新闻变量的交叉回归可预测性文章，针对广泛的货币横截面。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to news reporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “This paperdocuments signifi cant cross-return predictability of news variables, derived from textual analysi s of newsarticles, for a broad cross-section of currencies.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Central University of Finan ce and Economics

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出版年

2024

Robotics & Machine Learning Daily News

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