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DC Field | Value | Language |
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dc.contributor.author | Dueker, MJ | - |
dc.contributor.author | Psaradakis, Z | - |
dc.contributor.author | Sola, M | - |
dc.contributor.author | Spagnolo, F | - |
dc.date.accessioned | 2014-08-19T09:12:40Z | - |
dc.date.available | 2014-08-19T09:12:40Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Studies in Nonlinear Dynamics & Econometrics, 15(2): Article no. 1, 2011 | en_US |
dc.identifier.issn | 1081-1826 | - |
dc.identifier.uri | http://www.degruyter.com/view/j/snde.2011.15.2/snde.2011.15.2.1755/snde.2011.15.2.1755.xml | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/8914 | - |
dc.description | Copyright © 2011 Walter de Gruyter GmbH. | en_US |
dc.description.abstract | This paper proposes a contemporaneous-threshold smooth transition GARCH (or C-STGARCH) model for dynamic conditional heteroskedasticity. The C-STGARCH model is a generalization to second conditional moments of the contemporaneous smooth transition threshold autoregressive model of Dueker et al. (2007) in which the regime weights depend on the ex ante probability that a contemporaneous latent regime-specific variable exceeds a threshold value. A key feature of the C-STGARCH model is that its transition function depends on all the parameters of the model as well as on the data. The structural properties of the model are investigated, in addition to the finite-sample properties of the maximum likelihood estimator of its parameters. An application to U.S. stock returns illustrates the practical usefulness of the C-STGARCH model. | en_US |
dc.language | English | - |
dc.language.iso | en | en_US |
dc.publisher | Walter de Gruyter GmbH | en_US |
dc.subject | GARCH model | en_US |
dc.subject | Heteroskedasticity | en_US |
dc.subject | Contemporaneous smooth transition threshold | en_US |
dc.subject | Stock returns | en_US |
dc.title | Contemporaneous-threshold smooth transition GARCH models | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.2202/1558-3708.1755 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance/Economics and Finance | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
Appears in Collections: | Economics and Finance Dept of Economics and Finance Research Papers |
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Fulltext.pdf | 722.47 kB | Adobe PDF | View/Open |
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