Financial Data Analytics

Theory and Application de

Éditeur :

Springer


Collection :

Contributions to Finance and Accounting

Paru le : 2022-04-25

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Description


?This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization.


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. 

Pages
384 pages
Collection
Contributions to Finance and Accounting
Parution
2022-04-25
Marque
Springer
EAN papier
9783030837983
EAN PDF
9783030837990

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
19825 Ko
Prix
179,34 €
EAN EPUB
9783030837990

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
84122 Ko
Prix
179,34 €