del Barrio Castro, Tomás (2021): Testing for the cointegration rank between Periodically Integrated processes.
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Abstract
Cointegration between Periodically Integrated (PI) processes has been analyzed among other by Birchen- hall, Bladen-Hovell, Chui, Osborn, and Smith (1989), Boswijk and Franses (1995), Franses and Paap (2004), Kleibergen and Franses (1999) and del Barrio Castro and Osborn (2008). However, so far there is not a method, published in an academic journal, that allows us to determine the cointegration rank between PI processes. This paper fills the gap, a method to determine the cointegration rank between a set PI Processes based on the idea of pseudo-demodulation is proposed in the context of Seasonal Cointegration by del Barrio Castro, Cubadda and Osborn (2020). Once a pseudo-demodulation time series is obtained the Johansen (1995) procedure could be applied to determine the cointegration rank. A Monte Carlo experiment shows that the proposed approach works satisfactorily for small samples.
Item Type: | MPRA Paper |
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Original Title: | Testing for the cointegration rank between Periodically Integrated processes |
English Title: | Testing for the cointegration rank between Periodically Integrated processes |
Language: | English |
Keywords: | Reduced Rank Regression,Periodic Cointegration, Periodically Integrated Processes. |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models |
Item ID: | 106603 |
Depositing User: | Dr Tomás del Barrio Castro |
Date Deposited: | 22 Mar 2021 09:59 |
Last Modified: | 22 Mar 2021 09:59 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/106603 |