Author(s)

Zhang Xiaoxu ¹

Affiliation(s)

¹ Zibo Vocational Institute, Zibo, Shandong, China

Corresponding Author

Zhang Xiaoxu

ABSTRACT

In the era of big data, financial products are constantly innovating, which directly triggers a significant transformation in the traditional financial industry and demonstrates high innovation value. Currently, it is essential to utilize big data analytics to analyze and enhance the innovation and resource allocation efficiency of financial products. There is also hope to optimize the innovation promotion model of financial products and address various crisis issues faced during the rapid development of internet finance. This paper explores the opportunities and challenges of financial product innovation in the context of big data analytics and studies the development approach of innovation promotion models. Furthermore, it investigates the specific innovation promotion model for short-term trading products in internet finance under the background of big data technology.

KEYWORDS

Big data analytics, financial products, innovation promotion model, approach, short-term trading in finance

CITE THIS PAPER

Zhang Xiaoxu, Exploring Innovative Promotion Models for Financial Products Based on Big Data Analysis. Financial Engineering and Risk Management (2023) Vol. 6: 54-59. DOI: http://dx.doi.org/10.23977/ferm.2023.060507.

REFERENCES

[1] Chen Xifeng, Mao Zeqiang. Risk characteristics, regulatory challenges, and target tools of digital financial products and services. Southwest Finance, 2020(9), 14-26. 
[2] Du Fandong, Zhang Xinmeng, Xiao Yuxiang, et al.  Financial business innovation based on big data: A case study of blue-collar consumer finance. Commercial Modernization, 2020(4), 102-103.
[3] Huang Feng, Zhang Yulei. Leveraging fintech to create a minimalist robo-advisor: "Bank of China Smart Investment" as an example of fintech innovation application. China Financial Computer, 2020(9), 34-37. 

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