Overview
- Focuses on advancements made in deep learning and how they can be leveraged with big data
- Provides a holistic view of how big data influences the financial sector
- Includes practical case studies and comparative studies
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Table of contents (12 chapters)
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Front Matter
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Introduction
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Front Matter
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Big Data in the Financial Markets
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Front Matter
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Big Data in Financial Services
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Front Matter
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Back Matter
Keywords
About this book
This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in finance, the book discusses technological and business-inspired breakthroughs in the field. The contributions offer technical insights into the different applications presented and highlight how these new developments may impact and contribute to the evolution of the financial sector. Additionally, the book presents several case studies that examine practical applications of big data in finance. In exploring the readiness of financial institutions to adapt to new developments in the big data/artificial intelligence space and assessing different implementation strategies and policy solutions, the book will be of interest to academics, practitioners, and regulators who work in this field.
Editors and Affiliations
About the editors
Thomas Walker is a Full Professor of Finance and the Concordia University Research Chair in Emerging Risk Management at Concordia University, Montreal, Canada. Prior to academia, he worked for several years in the German consulting and industrial sector at Mercedes Benz, Utility Consultants International, Lahmeyer International, Telenet, and KPMG Peat Marwick.
Frederick Davis is an Associate Professor at the John Molson School of Business at Concordia University, Montreal, Canada. Prior to his academic career, he worked for several years in the government sector assisting communities with their economic development. His research interests include mergers and acquisitions, insider trading, big data, and other aspects of corporate finance.
Tyler Schwartz holds an MSc degree in Data Science and Business Analytics from HEC Montreal. He has served as a research assistant in the Department of Finance at Concordia University for over four years and is the co-author of an edited book collection on climate change adaptation as well as working papers on social impact bonds and the Sustainable Development Goals (SDGs).
Bibliographic Information
Book Title: Big Data in Finance
Book Subtitle: Opportunities and Challenges of Financial Digitalization
Editors: Thomas Walker, Frederick Davis, Tyler Schwartz
DOI: https://doi.org/10.1007/978-3-031-12240-8
Publisher: Palgrave Macmillan Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-12239-2Published: 04 October 2022
Softcover ISBN: 978-3-031-12242-2Published: 05 October 2023
eBook ISBN: 978-3-031-12240-8Published: 03 October 2022
Edition Number: 1
Number of Pages: XXV, 272
Number of Illustrations: 10 b/w illustrations, 31 illustrations in colour
Topics: Financial Engineering, Big Data