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Python for Finance. - Second Edition

You're reading from Python for Finance. - Second Edition

Product type Book

Published in Jun 2017

Publisher

ISBN-13 9781787125698

Pages 586 pages

Edition 2nd Edition

Languages

Concepts

Table of Contents (23) Chapters

Python for Finance Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Python Basics

2. Introduction to Python Modules

3. Time Value of Money

4. Sources of Data

Diving into deeper concepts

5. Bond and Stock Valuation

6. Capital Asset Pricing Model

7. Multifactor Models and Performance Measures

8. Time-Series Analysis

9. Portfolio Theory

10. Options and Futures

11. Value at Risk

12. Monte Carlo Simulation

13. Credit Risk Analysis

14. Exotic Options

15. Volatility, Implied Volatility, ARCH, and GARCH

Index

Summary

In this chapter, many basic concepts and several widely used functions related to Python werediscussed. In Chapter 2, Introduction to Python Modules, we will discuss a key component of the Python language: Python modules and theirrelated issues. A module is a set of programs written by experts, professionals, or any person around a specific topic. A module could be viewed as a toolbox for a specific task. The chapter willfocus on the five most important modules: NumPy, SciPy, matplotlib, statsmodels, and pandas.

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Python for Finance. - Second Edition

Published in: Jun 2017 Publisher: ISBN-13: 9781787125698

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