Machine Learning Based Financial Applications of Data

Hangyi Li ()
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Hangyi Li: Tongji University, Department of Industrial Engineering

A chapter in Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024), 2024, pp 137-142 from Springer

Abstract: Abstract As a matter of fact, with the rapid development of big data and machine learning technology, the field of data finance is facing huge opportunities and challenges especially in recent years. With this in mind, based on machine learning model, this study makes a deep analysis and research on data finance. Through the application and comparison of multiple machine learning models, this paper finds that different models have different predictive effects on data finance. At the same time, this paper also discusses some frontier problems as well as challenges in the field of data finance in detail. According to the analysis, it provides ideas and references for future research. In the meantime, some practical application cases are added in order to more intuitively demonstrate the application of machine learning models in data finance. Overall, these results shed light on guiding further exploration of data finance in terms of machine learning scenarios.

Keywords: Machine Learning; Data Finance; Predictive Model; Risk Assessment; Investment Strategy (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-459-4_17

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DOI: 10.2991/978-94-6463-459-4_17

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