Proceedings of the 2024 2nd International Conference on Finance, Trade and Business Management (FTBM 2024)

Research on Financial Credit Model Construction Method based on Machine Learning Technology

Authors
Xianru Zhan1, *
1International Business, Newcastle Business School, Singapore, Singapore
*Corresponding author. Email: c3492633@uon.edu.au
Corresponding Author
Xianru Zhan
Available Online 27 October 2024.
DOI
10.2991/978-94-6463-546-1_21How to use a DOI?
Keywords
financial credit; fintech; machine learning; big data; artificial intelligence
Abstract

With the continuous development of science and technology, the application scenarios of finance are constantly changing, and financial credit in as a specialized credit information service under the conditions of market economy. At the same time, with the arrival of the digital era, the application scenarios of online financial business are increasing, the competition among financial institutions is getting more and more intense, and the degree of mastery of new technologies has directly affected the investment efficiency of financial institutions. Financial credit is an important data support that connects the demanders of funds and financial institutions. The limitations of traditional financial credit are mainly reflected in the fact that, first, it is not accurate, second, it is not timely, and third, it is inefficient and costly under manual operation. This can lead to unfavorable competitive advantage. Therefore, this paper proposes the use of emerging technologies to solve this problem. For example, Big Data, Artificial Intelligence, Blockchain, Internet of Things and other technologies to re-measure and build the model of financial credit. At the same time, artificial intelligence and machine learning technologies are used to automatically calculate a corporate financial credit score and conduct financial behaviors and activities based on the results of the score.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2nd International Conference on Finance, Trade and Business Management (FTBM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
27 October 2024
ISBN
978-94-6463-546-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-546-1_21How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xianru Zhan
PY  - 2024
DA  - 2024/10/27
TI  - Research on Financial Credit Model Construction Method based on Machine Learning Technology
BT  - Proceedings of the 2024 2nd International Conference on Finance, Trade and Business Management (FTBM 2024)
PB  - Atlantis Press
SP  - 190
EP  - 196
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-546-1_21
DO  - 10.2991/978-94-6463-546-1_21
ID  - Zhan2024
ER  -