Actuarial Principles
Lifetables and Mortality Models
Published on 29. October 2021
262 pages
978-0-323-90173-4 (ISBN)
Description
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.
- Provides detailed coverage of life contingency risks and survival models
- Presents self-contained chapters with coverage of key topics from both practitioner and theoretical viewpoints
- Includes numerous real world exercises that are accompanied by enlightening solutions
- Covers useful background information on how and why the subject has evolved and developed
More details
Other editions
Additional editions
Book
04/2022
Academic Press
€101.50
Shipment within 10-15 days
Person
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.
Content
1. Introduction to Deep Learning and Financial Modeling2. Deep Learning and Addressing the Class Imbalance Problem3. Predicting Interest Rates and Spreads Using Deep Learning4. Predicting Stock Market prices using Deep Learning5. Predicting Inflation Rates using Deep Learning6. Analyzing the GDP using Deep Learning7. Predicting Exchange Rates using Deep Learning8. Asset Allocation Optimization Using Deep Learning9. Deep Learning, Credit Scoring and Underwriting10. Deep Learning and Fraud Detection11. Deep Learning and Sentiment/News Analysis12. Banking and Insurance Solvency Capital Calculation Using Deep Learning13. Insurance Pricing Using Deep Learning14. Conclusion
