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dc.contributor.authorHandika, Rangga
dc.contributor.authorSondi Putra, Iswahyudi
dc.date.accessioned2018-03-28T06:54:26Z
dc.date.available2018-03-28T06:54:26Z
dc.date.issued2015-10-23
dc.identifier.citationhttps://www-emeraldinsight-com.adu-lib-database.idm.oclc.org/doi/full/10.1108/SEF-10-2015-0254en_US
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/871
dc.descriptionRangga Handika, Iswahyudi Sondi Putra, (2017) "Commodities returns’ volatility in financialization era", Studies in Economics and Finance, Vol. 34 Issue: 3, pp.344-362
dc.description.abstractThis paper aims to indirectly evaluate the accuracy of various volatility models using a value-at-risk (VaR) approach and to investigate the relationship between the accuracy of volatility modelling and investments performance in the financialized commodity markets. Design/methodology/approach This paper uses the VaR back-testing approach at six different commodities, seven different volatility models and five different time horizons. Findings This paper finds that the moving average (MA) VaR model tends to be the best for oil, copper, wheat and corn (long horizon) whereas the exponential generalized autoregressive conditional heteroscedastic (E-GARCH) VaR model tends to be the best for gold, silver and corn (short horizon). Our findings indicate that MA volatility model should be used for oil, copper, wheat and corn (for longer time horizons) commodities whereas E-GARCH volatility model should be used for gold, silver and corn (for short time horizons) commodities. We also find that there is a positive relationship between an accurate VaR performance and commodity return. This indicates that a good job in modelling volatility will be rewarded by higher returns in financialized commodity markets. Originality/value This paper indirectly evaluates the accuracy of volatility model via VaR measure and investigates the relationship between the accuracy of volatility and investments performance in financialized commodity markets. This paper contributes to the literature by offering VaR approach in evaluating volatility model performance and reporting the importance of performing accurate volatility modelling in financialized commodity markets.en_US
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.subjectValue-at-Risken_US
dc.subjectBack-Testingen_US
dc.subjectCommodity Marketsen_US
dc.subjectInvestments Performanceen_US
dc.titleCommodities returns’ volatility in financialization eraen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1108/SEF-10-2015-0254


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