Financial Data Analytics - Theory and Application (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Contributions to Finance and Accounting
Release date:	April 2022
First published:	2022
Editors:	Sinem Derindere Koeseoglu
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	384
Edition:	1st ed. 2022
ISBN-13:	978-3-03-083798-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Data analysis Books > Business & Economics > Economics > Economic theory & philosophy Books > Business & Economics > Finance & accounting > Finance > General Books > Money & Finance > General
LSN:	3-03-083798-X
Barcode:	9783030837983

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