Overview
- Provides a comprehensive resource for data analytics techniques
- Introduces financial data analytics models, theories, and applications in a holistic approach
- Presents empirical evidence as examples for the application of data analytics techniques
Part of the book series: Contributions to Finance and Accounting (CFA)
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Table of contents (13 chapters)
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Front Matter
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Introduction and Analytics Models
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Front Matter
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Machine Learning
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Front Matter
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Technology-Driven Finance
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Front Matter
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Keywords
- Digitalization in finance
- Machine learning
- Predictive techniques
- Deep learning
- Natural Language Processing (NLP)
- Insurance business with data science
- Big data
- Cloud services
- Foreign currency exchange
- Prescriptive modeling techniques
- Blockchain
- Innovative technology
- Optimization of regulatory portfolios
- Financial networks
- Emerging markets
- Financial sector
- Time series analysis
- Financial econometrics
About this book
This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach.
Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Financial Data Analytics
Book Subtitle: Theory and Application
Editors: Sinem Derindere Köseoğlu
Series Title: Contributions to Finance and Accounting
DOI: https://doi.org/10.1007/978-3-030-83799-0
Publisher: Springer 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: 978-3-030-83798-3Published: 26 April 2022
Softcover ISBN: 978-3-030-83801-0Published: 27 April 2023
eBook ISBN: 978-3-030-83799-0Published: 25 April 2022
Series ISSN: 2730-6038
Series E-ISSN: 2730-6046
Edition Number: 1
Number of Pages: XXII, 384
Number of Illustrations: 22 b/w illustrations, 100 illustrations in colour
Topics: Macroeconomics/Monetary Economics//Financial Economics, Business Finance, Economic Theory/Quantitative Economics/Mathematical Methods