Actuarial Principles: Lifetables and Mortality Models

by Andrew Leung

Overview

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

Product Details

ISBN-13:	9780323901734
Publisher:	Elsevier Science
Publication date:	10/29/2021
Sold by:	Barnes & Noble
Format:	eBook
Pages:	262
File size:	12 MB
Note:	This product may take a few minutes to download.

About the Author

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.

Table of Contents

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

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From the Publisher

Provides the fundamentals of actuarial science at the nexus of statistics, mathematics, demography and finance