Inflation Risk in Bonds

Almost all bonds expose an investor to inflation risk, also known as purchasing power risk. It is a risk that the increase in inflation may wipe out the profits from the bond. I’ll take a simple example to explain this.

Let’s say you buy a 1-year $100 bond that pays 8% coupon. At the end of one year you will receive a $8 coupon and $100 of your principal. Your investment has grown to $108. That’s like a 8% return on investment. But has your purchasing power also increased that much?

Let’s look at what you could do with your $100. One year back, you could buy 1 kg of apples. That represents the purchasing power of $100. Fast forward one year, and given an inflation rate of 5%, now the same 1kg of apples will cost you $105. If you went to the shop keeper with a $100 bill, he will give you only 0.95 kg of apples.

If we compare the above with your investment, then we can say that even though your money grew by $8, out of that $5 is wiped out by inflation, and your real wealth grew by only $3.

Since most bonds pay a fixed coupon for the life of the issue, an investor is exposed to inflation risk. There are now inflation-protected or inflation-indexed bonds in which 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.

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Data Science in Finance: 9-Book Bundle

Data Science in Finance 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 comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.