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Construction of Financial Market Risk Early Warning Model Based on Artificial Intelligence Technology

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Frontier Computing on Industrial Applications Volume 2 (FC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1132))

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Abstract

Since the 1980s, world economic integration, the financial industry has become the core of social development, and the accompanying financial risks have become a relatively difficult problem for countries. The complexity and diversity of financial business and the rapid increase of uncertainty factors have led to a significant increase in risks and may lead to financial crisis when accumulated to a certain extent. Once a financial crisis breaks out, it will lead to social and even political crisis in addition to economic recession. Its main purpose is to provide investors with timely information about financial market risks, so that they can make better decisions and thus increase profits.

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References

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Author information

Authors and Affiliations

  1. School of Management and Engineering, Nanjing University, Nanjing, 210009, China

    Sijia Li

Authors
  1. Sijia Li
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Correspondence to Sijia Li .

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Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, University of Aizu Tsuruga, Aizuwakamatsu, Japan

    Neil Yen

  3. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jia-Wei Chang

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Li, S. (2024). Construction of Financial Market Risk Early Warning Model Based on Artificial Intelligence Technology. In: Hung, J.C., Yen, N., Chang, JW. (eds) Frontier Computing on Industrial Applications Volume 2. FC 2023. Lecture Notes in Electrical Engineering, vol 1132. Springer, Singapore. https://doi.org/10.1007/978-981-99-9538-7_18

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  • DOI: https://doi.org/10.1007/978-981-99-9538-7_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9537-0

  • Online ISBN: 978-981-99-9538-7

  • eBook Packages: EngineeringEngineering (R0)

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