Residual Component

Tomas Cipra ()
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Tomas Cipra: Charles University, Faculty of Mathematics and Physics

Chapter Chapter 5 in Time Series in Economics and Finance, 2020, pp 113-119 from Springer

Abstract: Abstract Sometimes it seems from the visual point of view that the analyzed time series does not indicate the presence of any systematic component, so that it is white noise only (even if this white noise can be shifted to a nonzero level). For example, the graphical record of monthly time series in Table 5.1 plotted for 2015–2017 (t = 1, …, 36) in Fig. 5.1 seems to be white noise. Moreover, sometimes one must assess whether the elimination of systematic components from a decomposed time series has been perfect, i.e., whether some rests of systematic behavior do not persist in the estimated residuals (e.g., patterns of trend, seasonality, and the like).

Date: 2020
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DOI: 10.1007/978-3-030-46347-2_5

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