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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

How to diagnose model fit

If the model captures the linear dependence across lags, then the residuals should resemble white noise.

In addition to inspecting the ACF to verify the absence of significant autocorrelation coefficients, the Ljung-Box Q statistic allows us to test the hypothesis that the residual series follows white noise. The null hypothesis is that all m serial correlation coefficients are zero against the alternative that some coefficients are not. The test statistic is computed from the sample autocorrelation coefficients, ρk, for different lags, k, and follows an Χ2 distribution:

As we will see, statsmodels provides information ...

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Publisher Resources

ISBN: 9781789346411Supplemental Content