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Fintech with Artificial Intelligence, Big Data, and Blockchain

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  • © 2021

Overview

  • Introduces readers to recent advancements in financial technologies
  • Covers some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain
  • Provides the fundamental framework, empirical evidence, practical implications, and research insights

Part of the book series: Blockchain Technologies (BT)

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About this book

This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.

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Keywords

Table of contents (13 chapters)

Editors and Affiliations

  • Ewha Womans University, Seoul, Korea (Republic of)

    Paul Moon Sub Choi

  • The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

    Seth H. Huang

About the editors

Dr. Paul Moon Sub Choi: Dr. Choi has served on the business faculty of Ewha (Associate Dean and Associate Professor of Finance), Cornell (Fulbright Visiting Scholar), and the State University of New York at Binghamton (lecturer). He earned a Ph.D. with a financial economics concentration and an A.M. in statistics from Cornell and Harvard Universities, respectively. He was an undergraduate economics major at Yonsei University before joining Deutsche Bank in equity research on the Korean technology industry. He has published numerous peer-reviewed research articles in leading journals and presented papers in some of the most prestigious conferences in finance and economics. His recent research areas include distributed ledger technology (blockchain), artificial intelligence, financial technology, etc. He is an advisor at various technology-based start-ups, including OrganicSmart, Lozi, Squared-S Artificial Intelligence, etc.

Dr. Seth H. Huang: Dr. Huang has over ten yearsof artificial intelligence (A.I.) research and financial management experiences developing large-scale fintech applications for hedging, global sentiment analysis, and risk management. Most recently, he was Director of A.I. Applications Research Center in Guangdong, China. He occasionally served on the business faculty at the State University of New York-Korea (Adjunct Professor of Finance), the Hong Kong University of Science and Technology (Adjunct Associate Professor of Finance), Ewha Womans University (Assistant Professor of Finance), and Soochow University (lecturer) designing and teaching fintech, A.I., and finance courses. He has vast cross-industry application expertise with 6 patents on A.I. predictive systems and is the founder of a quantitative trading operation, Aris Intelligence Corporation, based in New York. He earned his Ph.D. with a financial economics concentration from Cornell University.

Bibliographic Information

  • Book Title: Fintech with Artificial Intelligence, Big Data, and Blockchain

  • Editors: Paul Moon Sub Choi, Seth H. Huang

  • Series Title: Blockchain Technologies

  • DOI: https://doi.org/10.1007/978-981-33-6137-9

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

  • Hardcover ISBN: 978-981-33-6136-2Published: 09 March 2021

  • Softcover ISBN: 978-981-33-6139-3Published: 10 March 2022

  • eBook ISBN: 978-981-33-6137-9Published: 08 March 2021

  • Series ISSN: 2661-8338

  • Series E-ISSN: 2661-8346

  • Edition Number: 1

  • Number of Pages: VI, 304

  • Number of Illustrations: 17 b/w illustrations, 49 illustrations in colour

  • Topics: Cyber-physical systems, IoT, Applications of Mathematics, Professional Computing, Big Data, Computational Intelligence

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