Actuarial Principles

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.

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