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Universität Konstanz >
Center of Finance and Econometrics (CoFE), Universität Konstanz >
CoFE-Diskussionspapiere, Universität Konstanz >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/32184
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Full metadata record
| DC Field | | Value | | Language |
| dc.contributor.author | | Beran, Jan | | en_US |
| dc.date.accessioned | | 2009-09-16 | | en_US |
| dc.date.accessioned | | 2010-05-14T12:00:44Z | | - |
| dc.date.available | | 2010-05-14T12:00:44Z | | - |
| dc.date.issued | | 2007 | | en_US |
| dc.identifier.uri | | http://hdl.handle.net/10419/32184 | | - |
| dc.description.abstract | | We consider parameter estimation for time-dependent locally stationary long-memory processes. The asymptotic distribution of an estimator based on the local infinite autoregressive representation is derived, and asymptotic formulas for the mean squared error of the estimator, and the asymptotically optimal bandwidth are obtained. In spite of long memory, the optimal bandwidth turns out to be of the n-1/5 and inversely proportional to the square of the second derivative of d. In this sense, local estimation of d is comparable to regression smoothing with iid residuals. | | en_US |
| dc.language.iso | | eng | | en_US |
| dc.publisher | | CoFE Konstanz | | en_US |
| dc.relation.ispartofseries | | Discussion paper series // Zentrum für Finanzen und Ökonometrie, Universität Konstanz 2007,13 | | en_US |
| dc.subject.ddc | | 330 | | en_US |
| dc.subject.keyword | | long memory | | en_US |
| dc.subject.keyword | | fractional ARIMA process | | en_US |
| dc.subject.keyword | | local stationarity | | en_US |
| dc.subject.keyword | | bandwidth selection | | en_US |
| dc.title | | On parameter estimation for locally stationary long-memory processes | | en_US |
| dc.type | | Working Paper | | en_US |
| dc.identifier.ppn | | 608932884 | | en_US |
| dc.rights | | http://www.econstor.eu/dspace/Nutzungsbedingungen | | - |
| Appears in Collections: | | CoFE-Diskussionspapiere, Universität Konstanz
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