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- Publisher Website: 10.1016/j.najef.2013.02.025
- Scopus: eid_2-s2.0-84888436689
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Article: Diagnostic checking for non-stationary ARMA models with an application to financial data
Title | Diagnostic checking for non-stationary ARMA models with an application to financial data |
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Authors | |
Keywords | Residual ACFs Nonstationary ARMA Portmanteau test Squared residual ACFs |
Issue Date | 2013 |
Citation | North American Journal of Economics and Finance, 2013, v. 26, p. 624-639 How to Cite? |
Abstract | This paper first derives the limiting distributions of the residual and the squared residual autocorrelation functions of the nonstationary autoregressive moving-average model, respectively. We then use them to construct two portmanteau statistics for testing the adequacy of the fitted model. Simulation results show that the tests have reasonable empirical sizes and powers in the finite samples. Finally, we use the daily SP500 data to illustrate our theory and approach. © 2013 Elsevier Inc. |
Persistent Identifier | http://hdl.handle.net/10722/230943 |
ISSN | 2021 Impact Factor: 3.136 2020 SCImago Journal Rankings: 0.607 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ling, Shiqing | - |
dc.contributor.author | Zhu, Ke | - |
dc.contributor.author | Yee, Chong Ching | - |
dc.date.accessioned | 2016-09-01T06:07:13Z | - |
dc.date.available | 2016-09-01T06:07:13Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | North American Journal of Economics and Finance, 2013, v. 26, p. 624-639 | - |
dc.identifier.issn | 1062-9408 | - |
dc.identifier.uri | http://hdl.handle.net/10722/230943 | - |
dc.description.abstract | This paper first derives the limiting distributions of the residual and the squared residual autocorrelation functions of the nonstationary autoregressive moving-average model, respectively. We then use them to construct two portmanteau statistics for testing the adequacy of the fitted model. Simulation results show that the tests have reasonable empirical sizes and powers in the finite samples. Finally, we use the daily SP500 data to illustrate our theory and approach. © 2013 Elsevier Inc. | - |
dc.language | eng | - |
dc.relation.ispartof | North American Journal of Economics and Finance | - |
dc.subject | Residual ACFs | - |
dc.subject | Nonstationary ARMA | - |
dc.subject | Portmanteau test | - |
dc.subject | Squared residual ACFs | - |
dc.title | Diagnostic checking for non-stationary ARMA models with an application to financial data | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.najef.2013.02.025 | - |
dc.identifier.scopus | eid_2-s2.0-84888436689 | - |
dc.identifier.volume | 26 | - |
dc.identifier.spage | 624 | - |
dc.identifier.epage | 639 | - |
dc.identifier.isi | WOS:000328442700035 | - |
dc.identifier.issnl | 1062-9408 | - |