Revolutionizing Finance: The Comprehensive Impact and Application of Machine Learning

The adoption of ML in finance has great potential to reform financial practices. This paper delves into the pivotal role of machine learning (ML) in revolutionizing the financial domain, including enhancing predictive accuracies, reducing cost, catalyzing financial innovation, and improving customer relationships. By dissecting the advantages, this paper summarizes the application of ML in finance like stock market forecasting, fraud detection, credit risk prediction, portfolio management and asset evaluation. Meanwhile, it also acknowledges existing obstacles such as data quality, transparency of models, and output homogenization. Finally, the paper seeks to provide comprehensive insights into the future landscape shaped by ML technologies in finance.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2024-10-18
DOI
https://doi.org/10.54254/2754-1169/112/20242496
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
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article

Revolutionizing Finance: The Comprehensive Impact and Application of Machine Learning

Mingyu Zhao
Advances in Economics Management and Political Sciences
Stock Market Forecasting Methods
article

Revolutionizing Finance: The Comprehensive Impact and Application of Machine Learning

Mingyu Zhao
article en

Abstract

The adoption of ML in finance has great potential to reform financial practices. This paper delves into the pivotal role of machine learning (ML) in revolutionizing the financial domain, including enhancing predictive accuracies, reducing cost, catalyzing financial innovation, and improving customer relationships. By dissecting the advantages, this paper summarizes the application of ML in finance like stock market forecasting, fraud detection, credit risk prediction, portfolio management and asset evaluation. Meanwhile, it also acknowledges existing obstacles such as data quality, transparency of models, and output homogenization. Finally, the paper seeks to provide comprehensive insights into the future landscape shaped by ML technologies in finance.

Advances in Economics Management and Political SciencesVol. 112(1)
Beijing Jiaotong University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Stock Market Forecasting Methods
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