Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/79355
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DC Field | Value | Language |
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dc.contributor.author | Elder, J. | - |
dc.contributor.author | Elliott, R. | - |
dc.contributor.author | Miao, H. | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Quantitative Finance, 2013; 13(2):195-204 | - |
dc.identifier.issn | 1469-7688 | - |
dc.identifier.issn | 1469-7696 | - |
dc.identifier.uri | http://hdl.handle.net/2440/79355 | - |
dc.description.abstract | This paper consists of two parts, a theoretical followed by an empirical contribution. We first give a new framework for fractional differencing in discrete time and show how the definition of fractional differencing that is commonly employed in empirical financial applications arises as a special case. We then use these methods to estimate the fractional differencing parameter in the return and volatility for three Comex metal futures contracts. The metal futures are sampled at very high frequencies—five-minute intervals over a nearly eight year period. | - |
dc.description.statementofresponsibility | John Elder, Robert J. Elliott and Hong Miao | - |
dc.language.iso | en | - |
dc.publisher | IOP Publishing Ltd. | - |
dc.rights | © 2013 Taylor & Francis | - |
dc.source.uri | http://dx.doi.org/10.1080/14697688.2012.676207 | - |
dc.subject | Time series analysis | - |
dc.subject | commodity prices | - |
dc.subject | computational finance | - |
dc.subject | empirical time series analysis | - |
dc.subject | wavelets in finance | - |
dc.title | Fractional differencing in discrete time | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1080/14697688.2012.676207 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Aurora harvest Mathematical Sciences publications |
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