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Studies in Computational Intelligence

Data Science for Financial Econometrics

Editors: Ngoc Thach, Nguyen, Kreinovich, Vladik, Trung, Nguyen Duc (Eds.)

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  • Presents recent findings and ideas on applying data science techniques to economic phenomena – and, in particular, financial phenomena 
  • Inspires practitioners to learn how to apply various data science techniques to economic problems and encourages researchers to further improve the existing techniques and to come up with new data science-based techniques for economics 
  • Written by respected experts in the field
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eBook 128,39 €
price for Spain (gross)
  • ISBN 978-3-030-48853-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-48852-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models – based on researchers’ insights – can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.  

Table of contents (42 chapters)

Table of contents (42 chapters)

Buy this book

eBook 128,39 €
price for Spain (gross)
  • ISBN 978-3-030-48853-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-48852-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Data Science for Financial Econometrics
Editors
  • Nguyen Ngoc Thach
  • Vladik Kreinovich
  • Nguyen Duc Trung
Series Title
Studies in Computational Intelligence
Series Volume
898
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-48853-6
DOI
10.1007/978-3-030-48853-6
Hardcover ISBN
978-3-030-48852-9
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 633
Number of Illustrations
20 b/w illustrations, 71 illustrations in colour
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