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A portfolio recommendation system based on machine learning and big data analytics

journal contribution
posted on 2023-08-30, 20:35 authored by Man Fai Leung, Abdullah Jawaid, Sai-Wang Ip, Chun-Hei Kwok, Shing Yan
This research paper introduces a portfolio recommendation system that utilizes machine learning and big data analytics to offer a profitable stock portfolio and stock analytics via a web ap- plication. The system’s effectiveness was evaluated through backtesting and user evaluation studies, which consisted of two parts: user evaluation and performance evaluation. The findings indicate that the development of a machine learning-based portfolio recommendation system and big data analytics can effectively meet the expectations of the majority of users and enhance users’ financial knowledge. This study contributes to the growing body of research on utilizing advanced technologies for portfolio recommendation and highlights the potential of machine learning and big data analytics in the financial industry.

History

Refereed

  • Yes

Volume

3

Issue number

2

Page range

152-165

Publication title

Data Science in Finance and Economics

ISSN

2769-2140

Publisher

AIMS Press

File version

  • Submitted version

Language

  • eng

Legacy posted date

2023-06-12

Legacy creation date

2023-06-12

Legacy Faculty/School/Department

Faculty of Science & Engineering

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