Electronic Resource

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

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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.

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Availability

Detail Information

Series Title

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Call Number

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Publisher

: Springer Singapore., 2023

Collation

X, 237 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9789819923663

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Specific Detail Info

Presents current insights, developments, and trends in Financial Technology Features research in integration of mathematical models and intelligent algorithms for financial markets Merges findings and knowledge from various domains for the purposes of Financial Technology Is an open access book

Statement of Responsibility

Zhiyong Zheng

Other Information

Cataloger

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Source

https://link.springer.com/book/10.1007/978-981-99-2366-3

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-981-99-2366-3

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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