Proceedings of the First International Forum on Financial Mathematics and Financial Technology: Financial Mathematics and Fintech
Editat de Zhiyong Zhengen Limba Engleză Paperback – 10 feb 2022
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Specificații
ISBN-13: 9789811583759
ISBN-10: 9811583757
Ilustrații: X, 236 p. 32 illus., 21 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Financial Mathematics and Fintech
Locul publicării:Singapore, Singapore
ISBN-10: 9811583757
Ilustrații: X, 236 p. 32 illus., 21 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Seria Financial Mathematics and Fintech
Locul publicării:Singapore, Singapore
Cuprins
The Practice and Development of Digital Inclusive Finance in China.- On Arbitrage-Free Pricing in Numeraire-Free Markets: With Applications to Forex and Cryptocurrency.- Algebraic Heun Pencil and related Problems in Mathematical Physcis.- A Survey on Deep Learning in Financial Markets.- Information Transition in Trading and its Effect on Market Efficiency: An Entropy Approach.- Survey of Lattice-Based Group Signature.- Insight on Hybrid Organizational Performance: A Systematic Review.- The Complex Systems’ Methods in Financial Science and Technology.- Estimating the Number of Fork Projects of Bitcoin Based on a Birth-death-immigration Process.- Patterns vs. Spatial Heterogeneity—From a Variational Viewpoint.- A Summary: Quantifying the Complexity of Financial Markets Using Composite and Multivariate Multiscale Entropy.- Iterative Learning Control for FinTech.
Textul de pe ultima copertă
This book contains high-quality papers presented at the First International Forum on Financial Mathematics and Financial Technology. With the rapid development of FinTech, the in-depth integration between mathematics, finance and advanced technology is the general trend. This book focuses on selected aspects of the current and upcoming trends in FinTech. In detail, the included scientific papers focus on financial mathematics and FinTech, presenting the innovative mathematical models and state-of-the-art technologies such as deep learning, with the aim to improve our 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.
Caracteristici
Focuses on hot topics in Financial Technology Presents current insights, developments, and trends in Financial Technology Features research in integration of Mathematical models and intelligent algorithms for financial markets Exhibits possibilities of using various computer methods in the scope of financial technology Merges findings and knowledge from various domains for the purposes of financial technology