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Academic Journal of Business & Management, 2022, 4(11); doi: 10.25236/AJBM.2022.041114.

Analysis on the optimization path of financial risk management from the perspective of big data

Author(s)

Xitong Liu

Corresponding Author:
Xitong Liu
Affiliation(s)

The University of Auckland, Auckland, New Zealand

Abstract

Under the background of the new era, science and technology have been continuously innovated and developed, and gradually applied in various fields of society, which has a great impact on all walks of life. Among them, based on the rapid rise of big data technology in the computer network environment, with its characteristics of flexibility and high accuracy, it has brought more high-quality experience to the majority of financial customers and become the most important online tool in the field of modern financial risk management. However, while big data technology brings convenience to the financial industry, it also has certain risks, which must arouse our great attention and careful analysis. This paper summarizes the characteristics of financial risk management from the perspective of big data, and proposes specific optimization paths to enhance the level of financial risk management.

Keywords

Big data; Financial risk management; Basic features; Optimal path

Cite This Paper

Xitong Liu. Analysis on the optimization path of financial risk management from the perspective of big data. Academic Journal of Business & Management (2022) Vol. 4, Issue 11: 101-104. https://doi.org/10.25236/AJBM.2022.041114.

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