dc.contributor.author | Figuerola Ferretti Garrigues, Isabel Catalina | es-ES |
dc.contributor.author | Gilbert, Christopher L. | es-ES |
dc.date.accessioned | 2016-02-25T12:58:20Z | |
dc.date.available | 2016-02-25T12:58:20Z | |
dc.date.issued | 07/08/2008 | es_ES |
dc.identifier.issn | 0270-7314 | es_ES |
dc.identifier.uri | http://hdl.handle.net/11531/6540 | |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | No procede | es-ES |
dc.description.abstract | Dynamic representation of spot and three-month aluminum and copper volatilities
is considered. Aluminum and copper are the two most important metals traded in
the London Metal Exchange. They share common business cycle factors and are
traded under identical contract specifications. The bivariate FIGARCH model,
which allows parsimonious representation of long memory volatility processes, is
applied. The results show that spot and three-month aluminum and copper
volatilities follow long memory processes, that they exhibit a common degree of
fractional integration and that the processes are symmetric. However, there is no
evidence that the processes are fractionally cointegrated. This high degree
of commonality may result from the common LME trading process.
© 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:935 962, 2008 | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | es-ES | es_ES |
dc.rights | | es_ES |
dc.rights.uri | | es_ES |
dc.source | Revista: Journal of Futures Markets, Periodo: 1, Volumen: 28, Número: 10, Página inicial: 935, Página final: 962 | es_ES |
dc.title | Commonality in the LME Aluminium and Copper Volatility Processes through a FIGARCH lens | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.holder | El Journal mantiene los derechos de autor | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es_ES |
dc.keywords | No procede | es-ES |
dc.keywords | LME futures, fractional cointegration, FIGARCH, volatility | en-GB |