AI-Driven Economic Forecasting: Integrating Mathematical Modeling into Western Economics

Jiaji Yu; Haojin Zhang; Yangyang Chen; Aixu Zhang; Fengzhi Liu

doi:10.2991/978-94-6463-702-1_39

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AI-Driven Economic Forecasting: Integrating Mathematical Modeling into Western Economics

Authors

Jiaji Yu¹, Haojin Zhang², Yangyang Chen³, Aixu Zhang⁴, Fengzhi Liu⁴^{, *}

¹Finance School, Harbin University of Commerce, Harbin, 150028, China

²School of Business, Harbin University of Commerce, Harbin, 150028, China

³College of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China

⁴School of Economics, Harbin University of Commerce, Harbin, 150028, China

^*Corresponding author. Email: 2902418994@qq.com

Corresponding Author

Fengzhi Liu

Available Online 5 May 2025.

DOI: 10.2991/978-94-6463-702-1_39 How to use a DOI?
Keywords: Artificial Intelligence (AI); Economic Forecasting; Mathematical Modeling; Western Economics
Abstract: The integration of artificial intelligence (AI) into economic forecasting is revolutionizing the field by providing more accurate and data-driven insights. This paper explores the convergence of AI with mathematical modeling within the context of Western economics. We present a novel AI-driven forecasting model that incorporates advanced mathematical techniques to enhance predictive capabilities. The methodology section outlines the data preprocessing and the AI algorithms used. The paper’s core lies in the data analysis and visualization section, where five key economic indicators are visualized to demonstrate the model’s efficacy. The results showcase the model’s superior predictive performance compared to traditional methods. The discussion evaluates the implications of these findings for economic theory and policy-making.
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 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
Series: Advances in Economics, Business and Management Research
Publication Date: 5 May 2025
ISBN: 978-94-6463-702-1
ISSN: 2352-5428
DOI: 10.2991/978-94-6463-702-1_39 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Jiaji Yu
AU  - Haojin Zhang
AU  - Yangyang Chen
AU  - Aixu Zhang
AU  - Fengzhi Liu
PY  - 2025
DA  - 2025/05/05
TI  - AI-Driven Economic Forecasting: Integrating Mathematical Modeling into Western Economics
BT  - Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
PB  - Atlantis Press
SP  - 355
EP  - 365
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-702-1_39
DO  - 10.2991/978-94-6463-702-1_39
ID  - Yu2025
ER  -

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