Author(s)

Ying Luo ¹

Affiliation(s)

¹ Accounting Institute, Haojing College of Shaanxi University of Science &Technology, Xianyang, Shaanxi, 721000, China

Corresponding Author

Ying Luo

ABSTRACT

This article mainly discusses the practical applications of modern information technologies such as cloud computing, big data, artificial intelligence, and blockchain in financial and economic management. By analyzing the use of the XGBoost algorithm model in credit risk assessment, market trend analysis, and customer behavior prediction, the AUC (Area under the ROC Curve) value of the XGBoost model reached 0.92 in comparative experiments with logistic regression and random forest models. The prediction accuracy of the XGBoost model in the 10 day moving average is also consistent with the actual stock price under stable market conditions, but its accuracy decreases during high volatility periods. The article also discusses in detail the new challenges brought by these technologies. Through specific experimental examples and data analysis, this article provides a comprehensive perspective to help readers understand how these high-tech technologies play a role in the financial field, while also providing direction for future technological applications.

KEYWORDS

Information Technology, Financial and Economic Management, XGBoost Model, Credit Risk Assessment

CITE THIS PAPER

Ying Luo, Application and Innovative Development of Information Technology in Financial and Economic Management. Accounting and Corporate Management (2024) Vol. 6: 156-163. DOI: http://dx.doi.org/10.23977/acccm.2024.060219.

REFERENCES

[1] Ni Qixuan.Research on credit Risk Prevention and Control based on graph convolution algorithm [J].Market Weekly: Theoretical Research, 2021, 034(006): P.124-126.
[2] Ma Ning, Liu Shuo, Wang Lexiu.Research on the unbalanced classification algorithm based on the combination of SMOTE-Tomek and AdaBoost in the field of financial credit [J].Computer Science and Applications, 2023, 13(5):1135-1147.
[3] Landi G C, Iandolo F, Renzi A, et al. Embedding sustainability in risk management: The impact of environmental, social, and governance ratings on corporate financial risk[J]. Corporate Social Responsibility and Environmental Management, 2022, 29(4): 1096-1107.
[4] Gad N A, Abdel-Monem M, El-Dash K, et al. Modeling financial risk contributes to construction projects; case study of expansion food industries[J]. HBRC Journal, 2022, 18(1): 85-106.
[5] Colombo E. From bushfires to misfires: Climate-related financial risk after Mcveigh v. Retail Employees Superannuation Trust[J]. Transnational Environmental Law, 2022, 11(1): 173-199.
[6] Mishra L, Kaushik V. Application of blockchain in dealing with sustainability issues and challenges of financial sector [J]. Journal of Sustainable Finance & Investment, 2023, 13(3): 1318-1333.
[7] Gad A G, Mosa D T, Abualigah L, et al. Emerging trends in blockchain technology and applications: A review and outlook [J]. Journal of King Saud University-Computer and Information Sciences, 2022, 34(9): 6719-6742.
[8] Sun Rui, He Dayi, Su Huilin. Research on the application of Blockchain technology based on evolutionary game in supply chain finance [J]. Chinese Management Science, 2024, 32(3): 125-134.
[9] Xing Chensi.Discussion on the application strategy of big data analysis technology in Financial risk control [J].Mobile information, 2023, 45(7):330-332.
[10] Wang S .An interview with Shouyang Wang: research frontier of big data-driven economic and financial forecasting [J].Data Science and Management, 2021, 1(1):10-12.
[11] Khalatur S, Pavlova H, Vasilieva L, et al. Innovation management as basis of digitalization trends and security of financial sector[J]. Entrepreneurship and Sustainability Issues, 2022, 9(4): 56-63.
[12] Shi X, Yao S, Luo S. Innovative platform operations with the use of technologies in the blockchain era[J]. International Journal of Production Research, 2023, 61(11): 3651-3669.
[13] Li J, Li B. Digital inclusive finance and urban innovation: Evidence from China[J]. Review of Development Economics, 2022, 26(2): 1010-1034.
[14] Kong T, Sun R J, Sun G, et al. Effects of digital finance on green innovation considering information asymmetry: An empirical study based on Chinese listed firms[J]. Emerging Markets Finance and Trade, 2022, 58(15): 4399-4411.

Sponsors, Associates, and Links

---

• Information Systems and Economics
  
  
• Accounting, Auditing and Finance
  
  
• Industrial Engineering and Innovation Management
  
  
• Tourism Management and Technology Economy
  
  
• Journal of Computational and Financial Econometrics
  
  
• Financial Engineering and Risk Management
  
  
• Social Security and Administration Management
  
  
• Population, Resources & Environmental Economics
  
  
• Statistics & Quantitative Economics
  
  
• Agricultural & Forestry Economics and Management
  
  
• Social Medicine and Health Management
  
  
• Land Resource Management
  
  
• Information, Library and Archival Science
  
  
• Journal of Human Resource Development
  
  
• Manufacturing and Service Operations Management
  
  
• Operational Research and Cybernetics