978-981-99-2366-3.pdf

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 th...

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Γλώσσα:English
Έκδοση: Springer Nature 2023
Διαθέσιμο Online:https://link.springer.com/978-981-99-2366-3
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spelling oapen-20.500.12657-754322023-08-15T02:35:04Z Proceedings of the Second International Forum on Financial Mathematics and Financial Technology Zheng, Zhiyong Financial Mathematics Financial Technology Machine Learning Deep Learning Intelligent Algorithms Financial Mathematical Models Data Minning bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCB Macroeconomics bic Book Industry Communication::K Economics, finance, business & management::KF Finance & accounting::KFF Finance bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics 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. 2023-08-14T15:57:22Z 2023-08-14T15:57:22Z 2023 book ONIX_20230814_9789819923663_45 9789819923663 9789819923656 https://library.oapen.org/handle/20.500.12657/75432 eng Financial Mathematics and Fintech application/pdf n/a 978-981-99-2366-3.pdf https://link.springer.com/978-981-99-2366-3 Springer Nature Springer Nature Singapore 10.1007/978-981-99-2366-3 10.1007/978-981-99-2366-3 6c6992af-b843-4f46-859c-f6e9998e40d5 e6574b1a-f99f-4ac4-8c3f-0aa4c3d0c4f6 9789819923663 9789819923656 Springer Nature Singapore 237 Singapore [...] Renmin University of China RUC open access
institution OAPEN
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language English
description 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.
title 978-981-99-2366-3.pdf
spellingShingle 978-981-99-2366-3.pdf
title_short 978-981-99-2366-3.pdf
title_full 978-981-99-2366-3.pdf
title_fullStr 978-981-99-2366-3.pdf
title_full_unstemmed 978-981-99-2366-3.pdf
title_sort 978-981-99-2366-3.pdf
publisher Springer Nature
publishDate 2023
url https://link.springer.com/978-981-99-2366-3
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