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You're reading from  Python for Finance Cookbook - Second Edition

Product typeBook
Published inDec 2022
PublisherPackt
ISBN-139781803243191
Edition2nd Edition
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Author (1)
Eryk Lewinson
Eryk Lewinson
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Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.
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Adjusting the returns for inflation

When doing different kinds of analyses, especially long-term ones, we might want to consider inflation. Inflation is the general rise of the price level of an economy over time. Or to phrase it differently, the reduction of the purchasing power of money. That is why we might want to decouple the inflation from the increase of the stock prices caused by, for example, the companies’ growth or development.

We can naturally adjust the prices of stocks directly, but in this recipe, we will focus on adjusting the returns and calculating the real returns. We can do so using the following formula:

where Rrt is the real return, Rt is the time t simple return, and stands for the inflation rate.

For this example, we use Apple’s stock prices from the years 2010 to 2020 (downloaded as in the previous recipe).

How to do it…

Execute the following steps to adjust the returns for inflation:

  1. Import libraries...
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Python for Finance Cookbook - Second Edition
Published in: Dec 2022Publisher: PacktISBN-13: 9781803243191

Author (1)

author image
Eryk Lewinson

Eryk Lewinson received his master's degree in Quantitative Finance from Erasmus University Rotterdam. In his professional career, he has gained experience in the practical application of data science methods while working in risk management and data science departments of two "big 4" companies, a Dutch neo-broker and most recently the Netherlands' largest online retailer. Outside of work, he has written over a hundred articles about topics related to data science, which have been viewed more than 3 million times. In his free time, he enjoys playing video games, reading books, and traveling with his girlfriend.
Read more about Eryk Lewinson