
handle: 10281/97276 , 10419/130259
Abstract This study investigates the price volatility of metals, using GARCH and GJR models. First, we examine the persistence of volatility and the leverage effect across metal markets taking into account the presence of outliers. Second, we estimate the effects of oil price shocks on the price volatility of metals, allowing for asymmetric responses. We use daily spot prices for aluminum, copper, lead, nickel, tin, zinc, gold, silver, palladium and platinum. We find that returns have a high degree of volatility persistence before and after correcting for outliers, outliers bias the estimation of GARCH and GJR models, and removing outliers improves volatility modelling. However, Student-t-based specifications outperform outliers correction in capturing volatility. Moreover, we document inverse leverage effects for seven metals, leverage effect for copper and no leverage effects for nickel and palladium. Finally, price volatility of metals reacts differently and asymmetrically to oil price shocks.
Commodities, ddc:330, G13, Q4, Commodities; Metals; Oil price; Outliers; Volatility;, C1, Metals, Volatility, Oil Price, Outliers, Metal markets; volatility; GARCH-type models; outlier detection; crude oil price
Commodities, ddc:330, G13, Q4, Commodities; Metals; Oil price; Outliers; Volatility;, C1, Metals, Volatility, Oil Price, Outliers, Metal markets; volatility; GARCH-type models; outlier detection; crude oil price
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