Data Analytics in Finance

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A01=Huijian Dong
advanced financial data modeling applications
AI
Author_Huijian Dong
Category=KF
Category=KFF
Category=UNF
Category=UY
corporate auditing techniques
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
financial data engineering
fintech
fraud detection
investment analytics
machine learning
policy impact analysis
quantitative finance
risk management
statistical inference methods

Product details

  • ISBN 9781032430584
  • Weight: 560g
  • Dimensions: 156 x 234mm
  • Publication Date: 29 Apr 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Huijian Dong received his doctorate education from Columbia University and University of Delaware. He joined Dickinson State University as provost and chief academic officer in early 2023 from New Jersey City University. He is a professor of finance and a CFA and CAIA charterholder. He served as director of Merrill Lynch Wealth Management Center at University of South Florida where he managed the Student Investment Fund. He published more than 40 research articles in renowned journals on topics ranging across the field of asset pricing and portfolio management. He was also invited to serve on the editorial board for American Business Review and other finance and education journals.

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