2014
DOI: 10.1016/j.resourpol.2014.02.004
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Modelling volatility persistence and asymmetry: A Study on selected Indian non-ferrous metals markets

Abstract: This paper deals with the analysis of the volatility persistence and the leverage effect across six non-ferrous metals spot and futures series in India. Data for aluminium, copper, lead, nickel, zinc and tin were collected from 1 st January, 2009 to 30 th June, 2012. Volatility persistence was determined throughout the ARCH / GARCH class of models. The leverage effect was tested using TARCH and EGARCH models. Out of the twelve non-ferrous metals series including both spot and futures, TGARCH captures asymmetri… Show more

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Cited by 37 publications
(20 citation statements)
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“…Due to rapid urbanization and industrialization in emerging economies, the global demand for scarce metals has increased steadily, resulting in imbalances in production and consumption. This phenomenon has also led to increases in speculative activities and price volatility [7]. Other research has established the predictability and safe harbor properties of precious metals, namely, platinum and palladium and revealed intermediate memory in their return structures, involving the instability of the persistency of returns in the long run [8].…”
Section: Introductionmentioning
confidence: 99%
“…Due to rapid urbanization and industrialization in emerging economies, the global demand for scarce metals has increased steadily, resulting in imbalances in production and consumption. This phenomenon has also led to increases in speculative activities and price volatility [7]. Other research has established the predictability and safe harbor properties of precious metals, namely, platinum and palladium and revealed intermediate memory in their return structures, involving the instability of the persistency of returns in the long run [8].…”
Section: Introductionmentioning
confidence: 99%
“…Considering that volatility of financial returns is characterized by long-range dependence (see, e.g., Ding et al , 1993 ;Bollerslev and Mikkelsen , 1996 ;Granger , 1996 andGil-Alana et al , 2013;Gil-Alana and Tripathy , 2014; for more recent studies), generally explained by cross-sectional aggregation of clustered information arrival processes (Andersen and Bollerslev , 1997), we adopt an econometric framework designed to capture this persistent nature. Firstly, we investigate to what extent oil price and exchange rate volatility processes are fractionally cointegrated with the aim to capture the strength of the long-run relationship linking both markets.…”
Section: Introductionmentioning
confidence: 99%
“…Mineral price has volatility (Brunetti and Gilbert,1995;Eggert, 2001;McMillan and Speight, 2001;Watkins and McAleer, 2004;Dooley and Lenihan, 2005;Panas and Ninni, 2010;Arouri et al, 2012;Cochran et al, 2012;Ma, 2013;Arezki et al, 2014;Gil-Alana and Tripathy, 2014). Common features of commodity-producing countries are the enormous price swings that lead to equally enormous swings in export revenues, leading to boom-and-bust cycles that tend to persist for several years at a time (Mahmud and Basher, 2014).…”
Section: Introductionmentioning
confidence: 99%