Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies
AbstractThis paper examines volatility, volatility spillovers, optimal portfolio weights and hedging for systems that include the dollar/euro exchange rate together with four important and highly traded commodities - aluminum, copper, gold and oil - by utilizing four symmetric and asymmetric multivariate GARCH and DCC models. The inclusion of exchange rate increases the significant direct and indirect past shock and volatility effects on future volatility between the commodities in all the models. The model that includes copper displays more direct and indirect transmissions than the one that includes aluminum which displays the high interactions with oil. Optimal portfolio weights suggest that investors should hold more of aluminum, copper and gold and less of oil in those portfolios. Hedging ratios indicate that the most effective way of hedging long commodity and euro positions is shorting them with oil positions.
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Bibliographic InfoPaper provided by Kyoto University, Institute of Economic Research in its series KIER Working Papers with number 751.
Date of creation: Dec 2010
Date of revision:
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More information through EDIRC
MGARCH; shocks; volatility; transmission; asymmetries; hedging;
Other versions of this item:
- Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," CARF F-Series CARF-F-218, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Shawkat M.Hammoudeh & Yuan Yuan & Michael McAleer, 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Working Papers in Economics 10/33, University of Canterbury, Department of Economics and Finance.
- Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," CIRJE F-Series CIRJE-F-741, CIRJE, Faculty of Economics, University of Tokyo.
- Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J., 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Econometric Institute Research Papers EI 2010-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
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