Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Python for Finance

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

Arrow left icon
Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789346466
Length 426 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
James Ma Weiming James Ma Weiming
Author Profile Icon James Ma Weiming
James Ma Weiming
Arrow right icon
View More author details
Toc

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

Bond convexity

Convexity is the sensitivity measure of the duration of a bond to yield changes. Think of convexity as the second derivative of the relationship between the price and yield:

Bond traders use convexity as a risk-management tool to measure the amount of market risk in their portfolio. Higher-convexity portfolios are less affected by interest-rate volatilities than lower-convexity portfolios, given the same bond duration and yield. As such, higher-convexity bonds are more expensive than lower-convexity ones, everything else being equal.

The implementation of a bond convexity is given as follows:

In [ ]:
def bond_convexity(price, par, T, coup, freq, dy=0.01):
ytm = bond_ytm(price, par, T, coup, freq)

ytm_minus = ytm - dy
price_minus = bond_price(par, T, ytm_minus, coup, freq)

ytm_plus = ytm + dy
price_plus = bond_price...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime