Data Analytics in Finance

The book covers the methods and application of data analytics in all major areas of finance. It introduces statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis.

List of contents

1. Data Analytics in Finance: Introductory Case Studies 2. Data Analytics in Finance: Tools and Platforms 3. Data Analytics in Investments 4. Data Analytics in Consumption Finance 5. Data Analytics in Corporate Finance 6. Data Analytics in Financial Services and Banking 7. Data Analytics in Insurance 8. Data Analytics in Auditing 9. Data Analytics in Policy and Government 10. Data Analytics in Real Estate 11. Data Analytics in Risk Management 12. Data Analytics in Fraud Detection

About the author

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.

Product details

• Authors: Huijian Dong
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 30.04.2025
• EAN: 9781032430584
• ISBN: 978-1-0-3243058-4
• No. of pages: 290
• Series: Data Analytics Applications
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Social sciences, law, business > Business > Business administration; Data Mining, BUSINESS & ECONOMICS / Finance / General, COMPUTERS / Information Technology, computer science, Finance & accounting, Finance and accounting, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / General, COMPUTERS / Database Administration & Management, fintech;machine learning;AI;risk management;fraud detection