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    Proceedings of the Second International Forum on Financial Mathematics and Financial Technology

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    Contributor(s)
    Zheng, Zhiyong (editor)
    Language
    English
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    Abstract
    This open access book is the documentary of the Second International Forum on Financial Mathematics and Financial Technology, with focus on selected aspects of the current and upcoming trends in FinTech. In detail, the included scientific papers cover financial mathematics and FinTech, presenting the innovative mathematical models and state-of-the-art technologies such as deep learning, with the aim to improve the financial analysis and decision-making and enhance the quality of financial services and risk control. The variety of the papers delivers added value for both scholars and practitioners where they will find perfect integration of elegant mathematical models and up-to-date data mining technologies in financial market analysis. Due to COVID-19, the conference was held virtually on August 13–15, 2021, jointly held by the School of Mathematics of Renmin University of China, the Engineering Research Center of Financial Computing and Digital Engineering of Ministry of Education, the Statistics and Big Data Research Institute of Renmin University of China, the Blockchain Research Institute of Renmin University of China, the Zhongguancun Internet Finance Research Institute, and the Renmin University Press.
    URI
    https://library.oapen.org/handle/20.500.12657/75432
    Keywords
    Financial Mathematics; Financial Technology; Machine Learning; Deep Learning; Intelligent Algorithms; Financial Mathematical Models; Data Minning
    DOI
    10.1007/978-981-99-2366-3
    ISBN
    9789819923663, 9789819923656, 9789819923663
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Singapore, 2023
    Grantor
    • Renmin University of China - [...]
    Imprint
    Springer Nature Singapore
    Series
    Financial Mathematics and Fintech,
    Pages
    237
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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