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Data Science and Risk Analytics in Finance and Insurance
Buch von Tze Leung Lai (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2024
Fachbereich: Rechtsratgeber
Genre: Importe, Recht
Produktart: Nachschlagewerke
Rubrik: Recht & Wirtschaft
Medium: Buch
ISBN-13: 9781439839485
ISBN-10: 1439839484
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Lai, Tze Leung
Xing, Haipeng
Hersteller: CRC Press
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 240 x 161 x 29 mm
Von/Mit: Tze Leung Lai (u. a.)
Erscheinungsdatum: 02.10.2024
Gewicht: 0,857 kg
Artikel-ID: 105640841
Über den Autor

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.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2024
Fachbereich: Rechtsratgeber
Genre: Importe, Recht
Produktart: Nachschlagewerke
Rubrik: Recht & Wirtschaft
Medium: Buch
ISBN-13: 9781439839485
ISBN-10: 1439839484
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Lai, Tze Leung
Xing, Haipeng
Hersteller: CRC Press
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 240 x 161 x 29 mm
Von/Mit: Tze Leung Lai (u. a.)
Erscheinungsdatum: 02.10.2024
Gewicht: 0,857 kg
Artikel-ID: 105640841
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