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Dynamic cointegration and relevant vector machine: the relationship between gold and silver

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Author Info
Isabella Procidano () (Dep. of Statistics University Ca' Foscari Venice)
Margherita Gerolimetto
Silio Rigatti Luchini
Abstract

We use the Relevant Vector Machine, a technique of supervised learning introduced by Tipping (2001), to conduct a dynamic cointegration analysis on the time series of the price of gold and silver over the period 1971-2004. Unlike the results of traditional cointegration analysis, this study reveals that there is a dynamic long run relationship over the whole period

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File URL: http://repec.org/sce2006/up.27361.1141139739.pdf
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Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 380.

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Date of creation: 04 Jul 2006
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Handle: RePEc:sce:scecfa:380

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Related research
Keywords: Dynamic cointegration; relevant vector machine;

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions

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References listed on IDEAS
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  1. Alvaro Escribano & Clive W.J. Granger, 1996. "Investigating the Relationship between Gold and Silver Prices," University of California at San Diego, Economics Working Paper Series 96-38, Department of Economics, UC San Diego. [Downloadable!]
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