Summability of stochastic processes—a generalization of integration for non-linear processes
The order of integration is valid to characterize linear processes; but it is not appropriate for non-linear worlds. We propose the concept of summability (a re-scaled partial sum of the process being Op(1)) to handle non-linearities. The paper shows that this new concept, S(δ): (i) generalizes I(δ)...
Päätekijät: | , |
---|---|
Aineistotyyppi: | Conference item |
Julkaistu: |
Elsevier
2013
|
_version_ | 1826304764513615872 |
---|---|
author | Berenguer-Rico, V Gonzalo, J |
author_facet | Berenguer-Rico, V Gonzalo, J |
author_sort | Berenguer-Rico, V |
collection | OXFORD |
description | The order of integration is valid to characterize linear processes; but it is not appropriate for non-linear worlds. We propose the concept of summability (a re-scaled partial sum of the process being Op(1)) to handle non-linearities. The paper shows that this new concept, S(δ): (i) generalizes I(δ); (ii) measures the degree of persistence as well as of the evolution of the variance; (iii) controls the balancedness of non-linear relationships; (iv) opens the door to the concept of co-summability which represents a generalization of co-integration for non-linear processes. To make this concept empirically applicable, an estimator for δ and its asymptotic properties are provided. The finite sample performance of subsampling confidence intervals is analyzed via a Monte Carlo experiment. The paper finishes with the estimation of the degree of summability of the macroeconomic variables in an extended version of the Nelson-Plosser database. |
first_indexed | 2024-03-07T06:22:43Z |
format | Conference item |
id | oxford-uuid:f338a033-4681-43c6-9294-7dfc049035d9 |
institution | University of Oxford |
last_indexed | 2024-03-07T06:22:43Z |
publishDate | 2013 |
publisher | Elsevier |
record_format | dspace |
spelling | oxford-uuid:f338a033-4681-43c6-9294-7dfc049035d92022-03-27T12:10:29ZSummability of stochastic processes—a generalization of integration for non-linear processesConference itemhttp://purl.org/coar/resource_type/c_5794uuid:f338a033-4681-43c6-9294-7dfc049035d9Symplectic Elements at OxfordElsevier2013Berenguer-Rico, VGonzalo, JThe order of integration is valid to characterize linear processes; but it is not appropriate for non-linear worlds. We propose the concept of summability (a re-scaled partial sum of the process being Op(1)) to handle non-linearities. The paper shows that this new concept, S(δ): (i) generalizes I(δ); (ii) measures the degree of persistence as well as of the evolution of the variance; (iii) controls the balancedness of non-linear relationships; (iv) opens the door to the concept of co-summability which represents a generalization of co-integration for non-linear processes. To make this concept empirically applicable, an estimator for δ and its asymptotic properties are provided. The finite sample performance of subsampling confidence intervals is analyzed via a Monte Carlo experiment. The paper finishes with the estimation of the degree of summability of the macroeconomic variables in an extended version of the Nelson-Plosser database. |
spellingShingle | Berenguer-Rico, V Gonzalo, J Summability of stochastic processes—a generalization of integration for non-linear processes |
title | Summability of stochastic processes—a generalization of integration for non-linear processes |
title_full | Summability of stochastic processes—a generalization of integration for non-linear processes |
title_fullStr | Summability of stochastic processes—a generalization of integration for non-linear processes |
title_full_unstemmed | Summability of stochastic processes—a generalization of integration for non-linear processes |
title_short | Summability of stochastic processes—a generalization of integration for non-linear processes |
title_sort | summability of stochastic processes a generalization of integration for non linear processes |
work_keys_str_mv | AT berenguerricov summabilityofstochasticprocessesageneralizationofintegrationfornonlinearprocesses AT gonzaloj summabilityofstochasticprocessesageneralizationofintegrationfornonlinearprocesses |