Actuarial Principles: Lifetables and Mortality Models
Autor Andrew Leungen Limba Engleză Paperback – 19 apr 2022
- 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
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Specificații
ISBN-13: 9780323901727
ISBN-10: 0323901727
Pagini: 262
Ilustrații: Approx. 100 illustrations
Dimensiuni: 152 x 229 x 17 mm
Greutate: 0.43 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323901727
Pagini: 262
Ilustrații: Approx. 100 illustrations
Dimensiuni: 152 x 229 x 17 mm
Greutate: 0.43 kg
Editura: ELSEVIER SCIENCE
Public țintă
Advanced undergraduate and graduate coursesResearchers/Professionals - qualified/certified actuaries in insurance, pensions, health
Cuprins
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
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