Financial data analytics : theory and application / Sinem Derindere Köseoğlu, editor.
Derindere Köseoğlu, Sinem, 1981- editor.
2022
HG173
Available Online

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Title
Financial data analytics : theory and application / Sinem Derindere Köseoğlu, editor.
ISBN
9783030837990 (electronic bk.)
3030837998 (electronic bk.)
9783030837983
303083798X
DOI
https://doi.org/10.1007/978-3-030-83799-0
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color).
Item Number
10.1007/978-3-030-83799-0 doi
Call Number
HG173
Dewey Decimal Classification
332.0285
Summary
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. .
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 5, 2022).
Added Author
Derindere Köseoğlu, Sinem, 1981- editor.
Series
Contributions to finance and accounting.
Available in Other Form
Print version: 9783030837983
Linked Resources
Online Access
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PART 1. INTRODUCTION AND ANALYTICS MODELS
Retraining and Reskilling Financial Participators in the Digital Age
Basics of Financial Data Analytics
Predictive Analytics Techniques: Theory and Applications in Finance
Prescriptive Analytics Techniques: Theory and Applications in Finance
Forecasting Returns of Crypto Currency - Analyzing Robustness of Auto Regressive and Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANNS)
PART 2. MACHINE LEARNING
Machine Learning in Financial Markets: Dimension Reduction and Support Vector Machine
Pruned Random Forests for Effective and Efficient Financial Data Analytics
Foreign Currency Exchange Rate Prediction Using Long Short Term Memory
Natural Language Processing (NLP) for Exploring Culture in Finance: Theory and Applications
PART 3. TECHNOLOGY DRIVEN FINANCE
Financial Networks: A Review of Models and the Use of Network Similarities
Optimization of Regulatory Economic-Capital Structured Portfolios: Modeling Algorithms, Financial Data Analytics and Reinforcement Machine Learning in Emerging Markets
Transforming Insurance Business with Data Science
A General Cyber Hygiene Approach for Financial Analytical Environment.

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