e-book : Python for finance: analyze big financial data.
Link to the ebook : https://login.ezproxy.univ-catholille.fr/login?url=https://s...
eISBN : 9781491945391
Contents :
Preface
Part I. Python and Finance
Chapter 1. Why Python for Finance?
Chapter 2. Infrastructure and Tools
Chapter 3. Introductory Examples
Part II. Financial Analytics and Development
Chapter 4. Data Types and Structures
Chapter 5. Data Visualization
Chapter 6. Financial Time Series
Chapter 7. Input/Output Operations
Chapter 8. Performance Python
Chapter 9. Mathematical Tools
Chapter 10. Stochastics
Chapter 11. Statistics
Chapter 12. Excel Integration
Chapter 13. Object Orientation and Graphical User Interfaces
Chapter 14. Web Integration
Part III. Derivatives Analytics Library
Chapter 15. Valuation Framework
Chapter 16. Simulation of Financial Models
Chapter 17. Derivatives Valuation
Chapter 18. Portfolio Valuation
Chapter 19. Volatility Options
Appendix A. Selected Best Practices
Appendix B. Call Option Class
Appendix C. Dates and Times
Language : English
Location : Nice Library
Material : Electronic
Statement : Présent
Owner : Bibliothèque