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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

Bootstrapping a yield curve

Short-term spot rates can be derived directly from various short-term securities, such as zero-coupon bonds, T-bills, notes, and eurodollar deposits. However, longer-term spot rates are typically derived from the prices of long-term bonds through a bootstrapping process, taking into account the spot rates of maturities that correspond to the coupon payment date. After obtaining short-term and long-term spot rates, the yield curve can then be constructed.

An example of bootstrapping the yield curve

Let's illustrate the bootstrapping of the yield curve with an example. The following table shows a list of bonds with different maturities and prices:

Bond face value in dollars

Time to maturity...

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