Data Science and Risk Analytics in Finance and Insurance

Data Science and Risk Analytics in Finance and Insurance (Chapman and Hall/CRC Financial Mathematics Series)
Author: Tze Leung Lai (Author), Haipeng Xing (Author)
Publisher finelybook 出版社: CRC Press
Edition 版次: 1st
Publication Date 出版日期: 2024-10-02
Language 语言: English
Print Length 页数: 366 pages
ISBN-10: 1439839484
ISBN-13: 9781439839485


Book Description
By finelybook

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.

About the Author

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.

Amazon page

相关文件下载地址

Formats: PDF | 7 MB
下载地址 Download解决验证以访问链接!
打赏
未经允许不得转载:finelybook » Data Science and Risk Analytics in Finance and Insurance

评论 抢沙发

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫

微信扫一扫