The effectiveness of the combined use of VIX and Support Vector Machines on the prediction of S&P 500

dc.contributor.author	Rosillo Camblor, Rafael
dc.contributor.author	Giner, Javier
dc.contributor.author	Oterino de la Fuente, David
dc.date.accessioned	2015-08-31T10:03:50Z
dc.date.available	2015-08-31T10:03:50Z
dc.date.issued	2014
dc.identifier.citation	Neural Computing & Applications, 25(2), p. 321-332 (2014); doi:10.1007/s00521-013-1487-7
dc.identifier.issn	0941-0643
dc.identifier.issn	1433-3058
dc.identifier.uri	http://hdl.handle.net/10651/32993
dc.description.sponsorship	Government of the Principality of Asturias
dc.format.extent	p. 321-332
dc.language.iso	eng
dc.relation.ispartof	Neural Computing & Applications
dc.rights	© Springer-Verlag London 2013
dc.source	WOS:000339387600008
dc.title	The effectiveness of the combined use of VIX and Support Vector Machines on the prediction of S&P 500	eng
dc.type	journal article
dc.identifier.local	20142123
dc.identifier.doi	10.1007/s00521-013-1487-7
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-013-1487-7

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