Robotics & Machine Learning Daily News2024,Issue(Jul.15) :24-25.

New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Liverpool (Portfolio Selection Under Non-gaussianity and Systemic Risk: a Machine Learning Based Forecasting Approach)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :24-25.

New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Liverpool (Portfolio Selection Under Non-gaussianity and Systemic Risk: a Machine Learning Based Forecasting Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Liverpool, United Kingdom, by NewsRx editors, research stated, “The Sharpe-ratio-maximizingportfolio becom es questionable under non-Gaussian returns, and it rules out, by construction, s ystemicrisk, which can negatively affect its out-of-sample performance. In the present work, we develop a newperformance ratio that simultaneously addresses t hese two problems when building optimal portfolios.”

Key words

Liverpool/United Kingdom/Europe/Cybor gs/Emerging Technologies/Machine Learning/University of Liverpool

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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