Data science and risk analytics in finance and insurance /

This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium...

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Bibliographic Details
Main Authors: Lai, T. L. (Author), Xing, Haipeng, SUNY, Stony Brook, New York, USA (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : CRC Press, 2025.
Edition:First edition.
Series:Chapman & Hall/CRC financial mathematics series.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics. Key Features: Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks. Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections. Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors. Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics. Includes supplements and exercises to facilitate deeper comprehension.
Physical Description:1 online resource (xiv, 366 pages).
Audience:Researchers and graduate students in statistics, finance, and economics.
ISBN:9781315117041
1315117045
9781351633826
1351633821
9781439839492
1439839492
9781351643252
1351643258