Year: 2025
Type: conference-paper
Abstract: In the period of rapid social and economic development, international investment has always been an effective way to promote international economic and trade and regional economic development. Especially after entering the era of big data, due to the diversity and particularity of practical activities, international investment is highly dependent on data and information. Make clear the new opportunities and challenges brought by big data technology to international investment, use machine learning algorithm to study the basic content and development direction of international investment, and finally put forward effective investment methods, which can provide a reference for the subsequent investment work. In this regard, after understanding the new opportunities and challenges of international investment in the era of big data, this paper mainly studies the decentralized portfolio selection model with machine learning algorithm as the core, and verifies the application effect of various algorithms combined with experiments. Finally, it is proved that the application performance of the improved mean variance model based on random forest revenue prediction is higher.
Source: SHS Web of Conferences
Authors: Chang Li, Linxin Cai, Qinni Lin, Yujie Huang
Institution: Guangdong University of Foreign Studies
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410309806