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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 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

Chapter 1. Python Basics

In this chapter, we will discuss basic concepts and several widely used functions related to Python. This chapter plus the next one (Chapter 2, Introduction to Python Modules) are only the chapters exclusively based on Python techniques. Those two chapters serve as a review for readers who have some basic Python knowledge. There is no way that a beginner, with no prior Python knowledge, could master Python by reading just those two chapters. For a new learner who wants to learn Python in more detail, he/she could find many good books. From Chapter 3, Time Value of Money onward, we will use Python, which will help in explaining or demonstrating various finance concepts, running regression, and processing data related to economics, finance, and accounting. Because of this, we will offer more Python-related techniques and usages in each of the upcoming chapters.

In particular, in this chapter, we will discuss the following topics:

  • Python installation

  • Variable assignment, empty space, and writing our own programs

  • Writing a Python function

  • Data input

  • Data manipulation

  • Data output

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Python for Finance. - Second Edition
Published in: Jun 2017 Publisher: ISBN-13: 9781787125698
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