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Mastering Python for Finance - Second Edition
book

Mastering Python for Finance - Second Edition

by James Ma Weiming
April 2019
Intermediate to advanced
426 pages
11h 13m
English
Packt Publishing
Content preview from Mastering Python for Finance - Second Edition

Preparing the target variables

The closing prices of JPM having been downloaded to the pandas Series object jpm_prices earlier, simply calculate the actual percentage returns with the following code:

In [ ]:    y = jpm_prices.pct_change().dropna()

We obtain a pandas Series object as our target variable y.

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Publisher Resources

ISBN: 9781789346466Supplemental Content