Feedback

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

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

0 Ungluers have Faved this Work
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.

This book is included in DOAB.

Why read this book? Have your say.

You must be logged in to comment.

Rights Information

Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.

Downloads

This work has been downloaded 12 times via unglue.it ebook links.
  1. 12 - pdf (CC BY) at Unglue.it.

Keywords

  • applied mathematics
  • Data Minning
  • deep learning
  • Economics
  • Economics, finance, business & management
  • Finance
  • Finance & accounting
  • Financial Mathematical Models
  • financial mathematics
  • financial technology
  • Intelligent Algorithms
  • Machine learning
  • Macroeconomics
  • Mathematics
  • Mathematics & science

Links

DOI: 10.1007/978-981-99-2366-3

Editions

edition cover

Share

Copy/paste this into your site: