Data science and risk analytics in finance and insurance

Tze Leung Lai and Haipeng Xing

PrefacePart 1: Background and Basic Analytics 1. Risk management and regulation2. Basic concepts and methods in risk management3. Financial derivatives and their pricing theory4. Insurance risk and credibility theoryPart 2: Advanced Data and Risk Analytics 5. Supervised and unsupervised learning6. Bandit, Markov decision process and reinforcement learning7. Monte Carlo methods and rare event analytics8. Surveillance and predictive analyticsPart 3: Data and Risk Analytics in FinTech 9. FinTech ABCD and analyticsBibliographyIndex

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Year of publication:	2025 ; First edition
Authors:	Lai, Tze Leung ; Xing, Haipeng
Publisher:	Boca Raton : CRC Press
Subject:	Risiko \| Risk \| Big Data \| Big data \| Risikomanagement \| Risk management \| Versicherung \| Insurance \| Data Mining \| Data mining \| Risikomodell \| Risk model

Extent:	1 online resource (xiv, 366 pages)
Series:	Chapman & Hall/CRC financial mathematics series
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-1-315-11704-1 ; 1-315-11704-5 ; 978-1-351-63382-6 ; 1-351-63382-1 ; 978-1-4398-3949-2 ; 1-4398-3949-2 ; 978-1-351-64325-2 ; 1-351-64325-8 ; 978-1-032-85049-8 ; 978-1-4398-3948-5
Other identifiers:	10.1201/9781315117041 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015186799