- 228 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Introduction to Financial Derivatives with Python
About this book
Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate course on derivatives, whether on a finance, economics, or financial mathematics programme. As well as covering all of the essential topics one would expect to be covered, the book also includes the basis of the numerical techniques most used in the financial industry, and their implementation in Python.
Features
- Connected to a Github repository with the codes in the book. The repository can be accessed at https://bit.ly/3bllnuf
- Suitable for undergraduate students, as well as anyone who wants a gentle introduction to the principles of quantitative finance
- No pre-requisites required for programming or advanced mathematics beyond basic calculus
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Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- List of Figures
- Foreword
- Preface
- Chapter 1 ◾ Introduction
- Chapter 2 ◾ Futures and Forwards
- Chapter 3 ◾ Options
- Chapter 4 ◾ Exotic Options
- Chapter 5 ◾ The Binomial Model
- Chapter 6 ◾ A Continuous-time Pricing Model
- Chapter 7 ◾ Monte Carlo Methods
- Chapter 8 ◾ The Volatility
- Chapter 9 ◾ Replicating Portfolios
- Appendix A ◾ Introduction to Python
- Appendix B ◾ Introduction to Coding in Python
- Bibliography
- Index
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Yes, you can access Introduction to Financial Derivatives with Python by Elisa Alòs,Raúl Merino in PDF and/or ePUB format, as well as other popular books in Business & Finance. We have over one million books available in our catalogue for you to explore.