TY  - BOOK
AU  - 
AU  - Kose,Utku
TI  - Data Analytics in Finance
SN  - 9781032430584
AV  - HG104 .D66 2025 
U1  - 332.0285/57 23/eng/20241126
PY  - 2025///
PB  - CRC Press
KW  - Finance
KW  - Data processing
KW  - Data Analytics in Finance
N1  - Includes bibliographical references and index
N2  - Data Analytics in Finance covers the methods and application of data analytics in all major areas of finance, including buy-side investments, sell-side investment banking, corporate finance, consumer finance, financial services, real estate, insurance, and commercial banking. It explains statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis. Emphasizing financial data analytics practices with a solution- oriented purpose, it is a “one-stop-shop” of all the major data analytics aspects for each major finance area.

The book paints a comprehensive picture of the data analytics process including:

Statistical inference of big data
Financial modeling
Machine learning and AI
Database querying
Data engineering
Data visualization
Risk analysis
Each chapter is crafted to provide complete guidance for many subject areas including investments, fraud detection, and consumption finance. Avoiding data analytics methods widely available elsewhere, the book focuses on providing data analytics methods specifically applied to key areas of finance. Written as a roadmap for researchers, practitioners, and students to master data analytics instruments in finance, the book also provides a collection of indispensable resources for the readers’ reference. Offering the knowledge and tools necessary to thrive in a data-driven financial landscape, this book enables readers to deepen their understanding of investments, develop new approaches to risk management, and apply data analytics to finance
ER  -