Lai, Tze Leung. <br/><br/>
Data science and risk analytics in finance and insurance /  English.  
by Tze Leung Lai and Haipeng Xing. 
 - 1st.  
 - Boca Raton :   CRC Press Taylor and Francis Group,  2025. 
 - xiv, 449 p.   24 cm.  
 - Chapman & Hall/CRC financial mathematics series .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> "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"-- 
<br/><br/><label>ISBN: </label>9781439839485 (hbk.) 
<br/><br/><label>LCCN: </label>2024015842 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Finance--Mathematical models.<br/>Finance--Statistical methods.<br/>Insurance--Data processing.
<br/><br/><label>Dewey Class. No.: </label>332.0727  / LAI.T