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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 FREE CHAPTER
2. Overview of Financial Analysis with Python 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

Summary

In this chapter, we focused on interest-rate and related derivative pricing with Python. Most bonds, such as US Treasury bonds, pay a fixed amount of interest semi-annually, while other bonds may pay quarterly or annually. It is a characteristic of bonds that their prices are closely related to current interest-rate levels in an inverse manner. The normal or positive yield curve, where long-term interest rates are higher than short-term interest rates, is said to be upward sloping. In certain economic conditions, the yield curve can be inverted and is said to be downward sloping.

A zero-coupon bond is a bond that pays no coupons during its lifetime, except upon maturity when the principal or face value is repaid. We implemented a simple zero-coupon bond calculator in Python.

The yield curve can be derived from the short-term zero or spot rates of securities, such as zero...

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