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)...

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Main Authors: Berenguer-Rico, V, Gonzalo, J
Format: Conference item
Published: Elsevier 2013
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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.
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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