Actuarial Principles

Lifetables and Mortality Models
Erscheinungsjahr 2022
ISBN: 978-0-323-90172-7
Verlag: Elsevier Science

Buch, Englisch, 262 Seiten, Format (B × H): 152 mm x 228 mm, Gewicht: 430 g

Actuarial Principles: Lifetables and Mortality Models explores the core of actuarial science: the study of mortality and other risks and applications. Including the CT4 and CT5 UK courses, but applicable to a global audience, this work lightly covers the mathematical and theoretical background of the subject to focus on real life practice. It offers a brief history of the field, why actuarial notation has become universal, and how theory can be applied to many situations. Uniquely covering both life contingency risks and survival models, the text provides numerous exercises (and their solutions), along with complete self-contained real-world assignments.

Zielgruppe

Advanced undergraduate and graduate courses
Researchers/Professionals - qualified/certified actuaries in insurance, pensions, health

Autoren/Hrsg.

Leung, Andrew

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik Mathematik Mathematik Interdisziplinär Finanz- und Versicherungsmathematik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Versicherungswirtschaft

Inhaltsverzeichnis

1. Introduction to Deep Learning and Financial Modeling
2. Deep Learning and Addressing the Class Imbalance Problem
3. Predicting Interest Rates and Spreads Using Deep Learning
4. Predicting Stock Market prices using Deep Learning
5. Predicting Inflation Rates using Deep Learning
6. Analyzing the GDP using Deep Learning
7. Predicting Exchange Rates using Deep Learning
8. Asset Allocation Optimization Using Deep Learning
9. Deep Learning, Credit Scoring and Underwriting
10. Deep Learning and Fraud Detection
11. Deep Learning and Sentiment/News Analysis
12. Banking and Insurance Solvency Capital Calculation Using Deep Learning
13. Insurance Pricing Using Deep Learning
14. Conclusion

Über Autor(innen)

Leung, Andrew
Dr Andrew Leung is a fellow of the actuarial professions in both the UK and Australia. He also has post graduate qualifications in pure mathematics and mathematical economics. He has worked for international actuarial consulting firms, in banking, insurance and investment. For more than 10 years he led the professional investment courses for the Australian profession and was the editor of the Australian Actuarial Journal. More recently, he established the actuarial course at Monash University, Melbourne, on which his book is based.