Financial Data Analytics: Theory and Application

This book provides a comprehensive overview of financial data analytics, covering theory and real-world applications, and is a valuable resource for researchers, scholars, and practitioners in the field.

Format: Hardback
Length: 384 pages
Publication date: 26 April 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of financial data analytics, offering a theoretical framework as well as practical insights into its application in real-world financial scenarios. It provides comprehensive solutions for logically analyzing the vast amount of structured and unstructured data generated within the finance sector, recognizing its potential for driving data-driven optimization. Spanning various applications of data analytics, the book is a valuable resource for companies, organizations, and investors seeking to harness the power of data to develop strategies and enhance performance.

International experts from diverse corners of the globe contribute their expertise to cover key topics in finance, encompassing 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 to illustrate specific concepts, ensuring a holistic approach.

This book is a must-read for researchers and scholars in financial economics and finance, as well as practitioners seeking to deepen their understanding of financial data analytics. By seamlessly blending theory and practice, it offers a comprehensive guide to this rapidly evolving field, enabling professionals to stay ahead of the curve and make informed decisions based on data-driven insights.

Weight: 776g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030837983
Edition number: 1st ed. 2022