Python for finance : financial modeling and quantitative analysis explained /
Learn and implement various Quantitative Finance concepts using the popular Python libraries About This Book Understand the fundamentals of Python data structures and work with time-series data Implement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and ma...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham, UK :
Packt Publishing,
2017.
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Edición: | Second edition. |
Temas: | |
Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Python for finance : financial modeling and quantitative analysis explained
- Credits
- About the Author
- About the Reviewers
- Customer Feedback
- Table of Contents
- Preface
- Chapter 1: Python Basics
- Chapter 2: Introduction to Python Modules
- Chapter 3: Time Value of Money
- Chapter 4: Sources of Data
- Chapter 5: Bond and Stock Valuation
- Chapter 6: Capital Asset Pricing Model
- Chapter 7: Multifactor Models and Performance Measures
- Chapter 8: Time-Series Analysis
- Chapter 9: Portfolio Theory
- Chapter 10: Options and Futures
- Chapter 11: Value at Risk
- Chapter 12: Monte Carlo Simulation
- Chapter 13: Credit Risk Analysis
- Chapter 14: Exotic Options
- Chapter 15: Volatility, Implied Volatility, ARCH, and GARCH
- Index.