Fintech Research and Applications

图书简介

This book aims to provide insights on the latest developments in the area of FinTech. It is a collection of scientific articles covering primary areas of finance. The following key themes are covered in the book: Machine Learning and Artificial Intelligence, FinTech Regulation and Smart Contracts, Cryptocurrencies, and FinTech in Financial Services. FinTech is a rapidly developing industry that uses technological innovations to improve financial activities and make financial services more accessible and affordable to businesses and individuals. This book contributes to the body of knowledge in FinTech offering potential readers a chance to review and rethink the topics in question.Key FeaturesFinTech is an emerging and rapidly developing industry that uses technology to improve activities in financeArtificial intelligence, machine learning, and big data will transform the way in which firms operate and deliver services to customersThat said, it is also a very promising research field nowadays and is a priority area for all major international funding bodiesThis book is unique in its focus on applications in FinTech with a collection of high-quality scientific articles written by high-calibre academics around the globe

FinTech: Smart Contracts and Regulation: Understanding Smart Contracts: Hype or Hope? (Elizaveta Zinovyeva, Raphael C G Reule, and Wolfgang Karl Härdle); FinTech Regulation: A Macro-Structural Approach (Silvio Andrae); Cryptocurrencies: Innovation and Classification: Cryptocurrencies as a Driver of Innovation for the Monetary System (Gianna Figá-Talamanca, Sergio Focardi, Davide Mazza, and Marco Patacca); Community Detection in Cryptocurrencies with Potential Applications to Portfolio Diversification (Jenna Gavin and Martin Crane); Machine Learning: Financial Applications: Distilling a Disruptive Disintermediary’s Data: Interpretable Machine Learning Explanations for LendingClub Customers (Thomas Conlon and Fearghal Kearney); Detecting Financial Statement Fraud Using Machine Learning Methods (Xin Chen, Yang Wang, and Yifei Zhang); Artificial Intelligence and Machine Learning in Fund Performance Evaluation - A Review (Xize Guo, Xiaolu Hu, and On Kit Tam); FinTech in Financial Services: Reimagining the Management of Outsourcing Life Cycles in the FinTech Era for Financial Services (Tristan Lim and Patrick Thng); Designing Mobile Applications for Personal Financial Management: An Exploratory User-Centred Design Study (Annisha Akosah, Nadia Pantidi, and Jennifer Ferreira); Estonian FinTech Evolution: The Past, Present

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Fintech Research and Applications（Transformations in Banking, Finance and Regulation） 金融科技研究与应用：挑战与机遇 货币银行学

Fintech Research and Applications（Transformations in Banking, Finance and Regulation）

金融科技研究与应用：挑战与机遇
货币银行学