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Mastering Python for Finance

You're reading from   Mastering Python for Finance Implement advanced state-of-the-art financial statistical applications using Python

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789346466
Length 426 pages
Edition 2nd Edition
Languages
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Author (1):
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James Ma Weiming James Ma Weiming
Author Profile Icon James Ma Weiming
James Ma Weiming
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started with Python
2. Overview of Financial Analysis with Python FREE CHAPTER 3. Section 2: Financial Concepts
4. The Importance of Linearity in Finance 5. Nonlinearity in Finance 6. Numerical Methods for Pricing Options 7. Modeling Interest Rates and Derivatives 8. Statistical Analysis of Time Series Data 9. Section 3: A Hands-On Approach
10. Interactive Financial Analytics with the VIX 11. Building an Algorithmic Trading Platform 12. Implementing a Backtesting System 13. Machine Learning for Finance 14. Deep Learning for Finance 15. Other Books You May Enjoy

Fixed-income securities

Corporations and governments issue fixed-income securities as a means of raising money. The owners of such debts lend money and expect to receive the principal when the debt matures. The issuer who wishes to borrow money may issue a fixed amount interest payment during the lifetime of the debt at pre-specified times.

The holders of debt securities, such as US Treasury bills, notes, and bonds, face the risk of default by the issuer. The federal government and municipal government are thought to face the least default risk, since they can easily raise taxes and create more money to repay the outstanding debts.

Most bonds pay a fixed amount of interest semi-annually, while some pay quarterly, or annually. These interest payments are also referred to as coupons. They are quoted as a percentage of the face value or par amount of the bond on an annual basis.

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