New opportunities and trends in international investment driven by machine learning - Research and analysis

Aug 4, 2026

International investment supports economic and trade development, and in the big data era it relies heavily on data and information due to the diversity and specificity of investment activities. This paper clarifies opportunities and challenges brought by big data technologies to international investment, applies machine learning algorithms to study key contents and development directions, and proposes practical investment methods. It focuses on a decentralized portfolio selection model, tests multiple algorithm combinations through experiments, and shows improved performance in an enhanced mean-variance model using random forest revenue prediction.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages4

Reading Time10 min

AccessFree to download

Introduction

Big data characteristics and decision support

Opportunities for international investment

Method

Machine learning methods

Experiments and results

Decentralized portfolio selection model

Improved mean-variance model with random forest

New opportunities and trends in international investment driven by machine learning Chang Li, Linxin Cai, Qinni Lin, Yujie Huang* School of International Relations, Guangdong University of Foreign Studies, Guangzhou, China 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. Key words: big data; machine learning; international investment; random forest; investment portfolio 1. Introduction As a unique information asset, it is difficult to collect, capture and apply conventional software technology in a short time. As a unique data collection, big data needs tobe processed through advanced tools and software such as computer and information technology. Only in this way can it play an important role in decision-making management. Only through advanced tools and software such as computer and information technology can it play an important role in decision-making management. In terms of the development of big data technology in recent years, big data is characterized by diversity and high growth rate, which can provide reference for various economic activities including international investment, and has become the main content of learning and exploration by scholars in various countries.[1-6] Integrating the application of data classification and data model of China's international investment in recent years, big data has brought the following opportunities for international investment: First, it has improved the development speed of economic integration. International investment and development is highly dependent on information. The emergence and application of big data can not only make it convenient for investment units or individuals to quickly explore more opportunities, but also enable the demand side to find targeted economic assistance. For example, in the early days, the United States invested heavily in real estate in Brooklyn and New * [Corresponding author: huangyujie_gdufs@outlook.com](Corresponding author: huangyujie_gdufs@outlook.com) York. With the gradual decrease of local land resources, the return rate of real estate investment is still high, but there are few investment opportunities. According to the big data survey, as the real estate in New York is increasingly depressed, the real estate in Auckland, Vancouver and other areas becomes more and more popular, and the American investment funds gradually incline to Europe, Singapore, Canada and China, forming the global synchronous development trend in the real estate market; secondly, big data improves the efficiency of resource integration in the global scope. In the construction and development of modern society, resource integration is one of the most basic characteristics, and it is an effective way for enterprisesand even the country to deal with the competition. With the support and guidance of big data technology, t

FAQs

What problem does the paper address about international investment?

It addresses how international investment increasingly depends on data and information in the big data era, and how new opportunities and challenges should be clarified. It then studies development directions using machine learning.

Which model improvement is reported as performing better?

The paper reports that the improved mean-variance model based on random forest revenue prediction achieves higher application performance.

What benefits does the paper associate with big data for international investment?

It links big data to faster economic integration development speed, improved global resource integration efficiency, and more scientific strategic layout for large multinational enterprises.

Aug 4, 2026

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