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Commonality in the LME aluminum and copper volatility processes through a FIGARCH lens
Author(s) -
FiguerolaFerretti Isabel,
Gilbert Christopher L.
Publication year - 2008
Publication title -
journal of futures markets
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.88
H-Index - 55
eISSN - 1096-9934
pISSN - 0270-7314
DOI - 10.1002/fut.20338
Subject(s) - volatility (finance) , long memory , copper , bivariate analysis , econometrics , business cycle , aluminium , economics , mathematics , materials science , macroeconomics , metallurgy , statistics
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