Tze Leung Lai, Haipeng Xing

Data Science and Risk Analytics in Finance and Insurance (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. The book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 350
• Erscheinungstermin: 2. Oktober 2024
• Englisch
• ISBN-13: 9781351643252
• Artikelnr.: 72245295

Autorenporträt

Tze Leung Lai is the Ray Lyman Wilbur Professor and Professor of Statistics at Stanford University. He received the COPSS Presidents' Award in 1983. He has published extensively on sequential statistical analysis and a wide range of applications in the biomedical sciences, engineering, and finance.

Haipeng Xing is a Professor of Applied Mathematics and Statistics at State University of New York, Stony Brook. His research interests include sequential statistical methods and its applications, econometrics, quantitative finance, and recursive methods in macroeconomics.

Inhaltsangabe

Preface Part 1: Background and Basic Analytics 1. Risk management and
regulation 2. Basic concepts and methods in risk management 3. Financial
derivatives and their pricing theory 4. Insurance risk and credibility
theory Part 2: Advanced Data and Risk Analytics 5. Supervised and
unsupervised learning 6. Bandit, Markov decision process and reinforcement
learning 7. Monte Carlo methods and rare event analytics 8. Surveillance
and predictive analytics Part 3: Data and Risk Analytics in FinTech 9.
FinTech ABCD and analytics Bibliography Index