Overview
- Shows recent research on econometrics for financial applications
- Introduces theoretical foundations and applications
- Has been written by experts in the field
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 427)
Included in the following conference series:
Conference proceedings info: ECONVN 2022.
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About this book
This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics). The book also covers applications to economy-related phenomena ranging from traditionally analyzed phenomena such as manufacturing, food industry, and taxes, to newer-to-analyze phenomena such as cryptocurrencies, influencer marketing, COVID-19 pandemic, financial fraud detection, corruption, and shadow economy. This book will inspire practitioners to learn how to apply state-of-the-art Bayesian, quantum, and related techniques to economic and financial problems and inspire researchers to further improve the existing techniques and come up with new techniques for studying economic and financial phenomena. The book will also be of interest to students interested in latest ideas and results.
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Keywords
Table of contents (55 papers)
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Front Matter
Other volumes
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Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics
Editors and Affiliations
Bibliographic Information
Book Title: Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics
Editors: Nguyen Ngoc Thach, Vladik Kreinovich, Doan Thanh Ha, Nguyen Duc Trung
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-98689-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-98688-9Published: 29 May 2022
Softcover ISBN: 978-3-030-98691-9Published: 29 May 2023
eBook ISBN: 978-3-030-98689-6Published: 28 May 2022
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XII, 878
Number of Illustrations: 17 b/w illustrations, 100 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Econometrics
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