Actuarial principles : lifetables and mortality models
Andrew Leung
| Year of publication: |
[2022]
|
|---|---|
| Authors: | Leung, Andrew |
| Publisher: |
London : Academic Press, an imprint of Elsevier |
| Subject: | Sterblichkeit | Mortality | Versicherungsmathematik | Actuarial mathematics | Risikomodell | Risk model | Lebensversicherung | Life insurance | Theorie | Theory |
| Extent: | xi, 250 Seiten Illustrationen 23 cm |
|---|---|
| Type of publication: | Book / Working Paper |
| Language: | English |
| Notes: | Literaturverzeichnis: Seite 245 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 |
| ISBN: | 978-0-323-90172-7 ; 978-0-323-90173-4 |
| Classification: | Investition, Finanzierung |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012792575