Local scale models: state space alternative to integrated GARCH processes

State space alternative to autoregressive conditional heteroskedasticity models are proposed. The initial model, which is labelled the Gaussian local scale model, has a measurement density which is Gaussian, conditional on the unobservable precision. The precision is assumed to be a gamma variable w...

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मुख्य लेखक: Shephard, N
स्वरूप: Journal article
भाषा:English
प्रकाशित: Elsevier 1994
विषय:
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author Shephard, N
author_facet Shephard, N
author_sort Shephard, N
collection OXFORD
description State space alternative to autoregressive conditional heteroskedasticity models are proposed. The initial model, which is labelled the Gaussian local scale model, has a measurement density which is Gaussian, conditional on the unobservable precision. The precision is assumed to be a gamma variable which evolves by being scaled by a beta variable. The resulting forecast is a student's t random variable, with a scale which is approximately an exponentially weighted moving average (EWMA) of the squares of the past observations. The degrees of freedom of the student's t distribution is controlled by the size of the discount parameter of the EWMA procedure. The Gaussianity of the measurement density is potentially inadequate when the model is applied to heavy tailed finance data. Instead, this assumption can be replaced by an exponential power density which allows the observed excess kurtosis to be modelled. The choice of the exponential power means that the model still maintains conjugacy, so allowing the derivation of an exact filter and likelihood function. This model is called the generalised local scale model. It has been used to model two exchange rate series.
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spelling oxford-uuid:e4aff159-f6b0-41a9-973b-8da5596c9e5e2022-03-27T10:18:24ZLocal scale models: state space alternative to integrated GARCH processesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e4aff159-f6b0-41a9-973b-8da5596c9e5eEconometricsEconomicsEnglishOxford University Research Archive - ValetElsevier1994Shephard, NState space alternative to autoregressive conditional heteroskedasticity models are proposed. The initial model, which is labelled the Gaussian local scale model, has a measurement density which is Gaussian, conditional on the unobservable precision. The precision is assumed to be a gamma variable which evolves by being scaled by a beta variable. The resulting forecast is a student's t random variable, with a scale which is approximately an exponentially weighted moving average (EWMA) of the squares of the past observations. The degrees of freedom of the student's t distribution is controlled by the size of the discount parameter of the EWMA procedure. The Gaussianity of the measurement density is potentially inadequate when the model is applied to heavy tailed finance data. Instead, this assumption can be replaced by an exponential power density which allows the observed excess kurtosis to be modelled. The choice of the exponential power means that the model still maintains conjugacy, so allowing the derivation of an exact filter and likelihood function. This model is called the generalised local scale model. It has been used to model two exchange rate series.
spellingShingle Econometrics
Economics
Shephard, N
Local scale models: state space alternative to integrated GARCH processes
title Local scale models: state space alternative to integrated GARCH processes
title_full Local scale models: state space alternative to integrated GARCH processes
title_fullStr Local scale models: state space alternative to integrated GARCH processes
title_full_unstemmed Local scale models: state space alternative to integrated GARCH processes
title_short Local scale models: state space alternative to integrated GARCH processes
title_sort local scale models state space alternative to integrated garch processes
topic Econometrics
Economics
work_keys_str_mv AT shephardn localscalemodelsstatespacealternativetointegratedgarchprocesses