Title Details: | |
Time series stationarity |
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Authors: |
Panagiotidis, Theodore Bampinas, Georgios |
Description: | |
Abstract: |
In this chapter, we present the importance of stationarity in the time series analysis. At the beginning of the chapter, we provide the theoretical background of stationarity and why it is important, and then we present some basic stationarity tests together with the corresponding empirical examples. We then distinguish the nature of stagnation and respectively suggest ways to correct when the stagnation hypothesis is not met. At the end of the chapter, we present the random walk model with or without drifting.
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Linguistic Editors: |
Kolla, Eleni |
Graphic Editors: |
Kaitsa, Elena-Natasa |
Type: |
Chapter |
Creation Date: | 04-03-2025 |
Item Details: | |
License: |
Attribution – NonCommercial – NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
Handle | http://hdl.handle.net/11419/14569 |
Bibliographic Reference: | Panagiotidis, T., & Bampinas, G. (2025). Time series stationarity [Chapter]. In Panagiotidis, T., & Bampinas, G. 2025. Econometric analysis by examples [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/14569 |
Language: |
Greek |
Is Part of: |
Econometric analysis by examples |
Publication Origin: |
Kallipos, Open Academic Editions |