- Common Options Embedded in a Bond Issue
- General Characteristics of Bonds
- Accrued Interest, Clean Price, and Dirty Price
- Bond Spreads
- Bid-Ask Spread of Bonds
- Impact of Liquidity on Bond Spreads
- Treasury STRIPS
- Floating Rate Notes
- Inflation-Indexed Bonds
- How to Read Bond Tables?
- How to Read Bond Quotes?
- “Pull to Par” of Bond Prices
Inflation-Indexed Bonds
As the name suggests, in inflation-indexed bonds, the interest and principal payments are indexed to the inflation rate. This way the inflation-indexed bonds protect the investors from any rise in the inflation rate, and thereby allow investors to maintain their purchasing power.
These bonds are also called inflation-linked bonds.
For inflation-indexed bonds, the coupon bond is equal to the inflation index multiplied by the nominal coupon rate.
The Fisher equation is used to establish the relationship between coupon payments, breakeven inflation and real interest rates is given by the Fisher equation. As inflation or real rates rise, so will the coupon payments.
In the US, TIPS (Treasury Inflation-Protected Securities) are the most liquid inflation-indexed bonds.
The inflation-linked bonds are most common in UK, followed by US and France.
The inflation-indexed bonds are considered good for diversifying a portfolio containing, stocks, fixed income bonds and cash, as there is very little correlation between them.
Data Science in Finance: 9-Book Bundle
Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.
What's Included:
- Getting Started with R
- R Programming for Data Science
- Data Visualization with R
- Financial Time Series Analysis with R
- Quantitative Trading Strategies with R
- Derivatives with R
- Credit Risk Modelling With R
- Python for Data Science
- Machine Learning in Finance using Python
Each book includes PDFs, explanations, instructions, data files, and R code for all examples.
Get the Bundle for $39 (Regular $57)Free Guides - Getting Started with R and Python
Enter your name and email address below and we will email you the guides for R programming and Python.