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- Publisher Website: 10.1016/S0378-3758(96)00196-6
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Article: On a threshold autoregression with conditional heteroscedastic variances
Title | On a threshold autoregression with conditional heteroscedastic variances |
---|---|
Authors | |
Keywords | ARCH models Double-threshold autoregression Geometric ergodicity |
Issue Date | 1997 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jspi |
Citation | Journal Of Statistical Planning And Inference, 1997, v. 62 n. 2, p. 279-300 How to Cite? |
Abstract | This paper considers a time series model with a piecewise linear conditional mean and a piecewise linear conditional variance which is a natural extension of Tong's threshold autoregressive model. The model has potential applications in modelling asymmetric behaviour in volatility in the financial market. Conditions for stationarity and ergodicity are derived. Asymptotic properties of the maximum likelihood estimator and two model diagnostic checking statistics are also presented. An illustrative example based on the Hong Kong Hang Seng index is also reported. © 1997 Elsevier Science B.V. |
Persistent Identifier | http://hdl.handle.net/10722/82711 |
ISSN | 2023 Impact Factor: 0.8 2023 SCImago Journal Rankings: 0.736 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, J | en_HK |
dc.contributor.author | Li, WK | en_HK |
dc.contributor.author | Li, CW | en_HK |
dc.date.accessioned | 2010-09-06T08:32:31Z | - |
dc.date.available | 2010-09-06T08:32:31Z | - |
dc.date.issued | 1997 | en_HK |
dc.identifier.citation | Journal Of Statistical Planning And Inference, 1997, v. 62 n. 2, p. 279-300 | en_HK |
dc.identifier.issn | 0378-3758 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/82711 | - |
dc.description.abstract | This paper considers a time series model with a piecewise linear conditional mean and a piecewise linear conditional variance which is a natural extension of Tong's threshold autoregressive model. The model has potential applications in modelling asymmetric behaviour in volatility in the financial market. Conditions for stationarity and ergodicity are derived. Asymptotic properties of the maximum likelihood estimator and two model diagnostic checking statistics are also presented. An illustrative example based on the Hong Kong Hang Seng index is also reported. © 1997 Elsevier Science B.V. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jspi | en_HK |
dc.relation.ispartof | Journal of Statistical Planning and Inference | en_HK |
dc.rights | Journal of Statistical Planning and Inference. Copyright © Elsevier BV. | en_HK |
dc.subject | ARCH models | en_HK |
dc.subject | Double-threshold autoregression | en_HK |
dc.subject | Geometric ergodicity | en_HK |
dc.title | On a threshold autoregression with conditional heteroscedastic variances | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0378-3758&volume=62&spage=279&epage=300&date=1997&atitle=On+a+threshold+autoregression+with+conditional+heteroscedastic+variances | en_HK |
dc.identifier.email | Li, WK: hrntlwk@hku.hk | en_HK |
dc.identifier.authority | Li, WK=rp00741 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/S0378-3758(96)00196-6 | - |
dc.identifier.scopus | eid_2-s2.0-0031571472 | en_HK |
dc.identifier.hkuros | 28698 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0031571472&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 62 | en_HK |
dc.identifier.issue | 2 | en_HK |
dc.identifier.spage | 279 | en_HK |
dc.identifier.epage | 300 | en_HK |
dc.identifier.isi | WOS:A1997XR82100010 | - |
dc.publisher.place | Netherlands | en_HK |
dc.identifier.scopusauthorid | Liu, J=7410111118 | en_HK |
dc.identifier.scopusauthorid | Li, WK=14015971200 | en_HK |
dc.identifier.scopusauthorid | Li, CW=37039049300 | en_HK |
dc.identifier.issnl | 0378-3758 | - |