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Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

Testing for cointegration

There are two major approaches to testing for cointegration:

  • The Engle–Granger two-step method
  • The Johansen procedure

The Engle–Granger method involves regressing one series on another, and then applying an ADF unit-root test to the regression residual. If the null hypothesis can be rejected so that we assume the residuals are stationary, then the series are co-integrated. A key benefit of this approach is that the regression coefficient represents the multiplier that renders the combination stationary, that is, mean-reverting. We will return to this aspect when leveraging cointegration for a pairs-trading strategy. On the other hand, this approach is limited to identifying cointegration for pairs of series as ...

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Publisher Resources

ISBN: 9781789346411Supplemental Content