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Python for Finance

You're reading from Python for Finance Apply powerful finance models and quantitative analysis with Python

Product type Paperback

Published in Jun 2017

Publisher

ISBN-13 9781787125698

Length 586 pages

Edition 2nd Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Analysis

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 FREE CHAPTER

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 related to finance were introduced, such as present value of one future cash flow, present value of perpetuity, present value of annuity, future value of one cash flow/annuity, and the concept of present of annuity due. The several decision rules were discussed in detail, such as the NPV rule, IRR rule, and payback period rule. For the next chapter, we will discuss how to retrieve data associated with economics, finance, and accounting from several open sources such as Yahoo!Finance, Google finance, Prof. French's data library, and Federal Research's economic data library.

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