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Precious Metals-Exchange Rate Volatility Transmissions and Hedging Strategies

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Author Info

  • Hammoudeh, S.M.
  • Yuan, Y.
  • McAleer, M.J.
  • Thompson, M.A.

Abstract

This study examines the conditional volatility and correlation dependency and interdependency for the four major precious metals (that is, gold, silver, platinum and palladium), while accounting for geopolitics within a multivariate system. The implications of the estimated results for portfolio designs and hedging strategies are also analyzed. The results for the four metals system show significant short-run and long-run dependencies and interdependencies to news and past volatility. These results have become more pervasive when the exchange rate and FFR are included. Monetary policy also has a differential impact on the precious metals and the exchange rate volatilities. Finally, the applications of the results show the optimal weights in a two-asset portfolio and the hedging ratios for long positions.

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File URL: http://hdl.handle.net/1765/17308
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Bibliographic Info

Paper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number EI 2009-38.

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Date of creation: 24 Nov 2009
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Handle: RePEc:dgr:eureir:1765017308

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Related research

Keywords: exchange rates; hedging; volatility; shocks; precious metals; correlation; dependency; interdependency; multivariate;

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References

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  1. Shiqing Ling & Michael McAleer, 2001. "Asymptotic Theory for a Vector ARMA-GARCH Model," ISER Discussion Paper 0549, Institute of Social and Economic Research, Osaka University.
  2. Demirer, Riza & Lien, Donald, 2003. "Downside risk for short and long hedgers," International Review of Economics & Finance, Elsevier, vol. 12(1), pages 25-44.
  3. Lien, Donald, 2005. "The use and abuse of the hedging effectiveness measure," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 277-282.
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  7. Adrangi, Bahram & Chatrath, Arjun, 2002. "The Dynamics of Palladium and Platinum Prices," Computational Economics, Society for Computational Economics, vol. 19(2), pages 179-95, April.
  8. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CIRJE F-Series CIRJE-F-638, CIRJE, Faculty of Economics, University of Tokyo.
  9. Choudhry, Taufiq, 2009. "Short-run deviations and time-varying hedge ratios: Evidence from agricultural futures markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 58-65, March.
  10. Choudhry, Taufiq, 2004. "The hedging effectiveness of constant and time-varying hedge ratios using three Pacific Basin stock futures," International Review of Economics & Finance, Elsevier, vol. 13(4), pages 371-385.
  11. Plourde, André & Watkins, G. C., 1998. "Crude oil prices between 1985 and 1994: how volatile in relation to other commodities?," Resource and Energy Economics, Elsevier, vol. 20(3), pages 245-262, September.
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  13. G McMillan, David, 2005. "Time-varying hedge ratios for non-ferrous metals prices," Resources Policy, Elsevier, vol. 30(3), pages 186-193, September.
  14. Lien, Donald & Shrestha, Keshab, 2008. "Hedging effectiveness comparisons: A note," International Review of Economics & Finance, Elsevier, vol. 17(3), pages 391-396.
  15. Hammoudeh, Shawkat & Yuan, Yuan, 2008. "Metal volatility in presence of oil and interest rate shocks," Energy Economics, Elsevier, vol. 30(2), pages 606-620, March.
  16. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-50, July.
  17. McAleer, Michael, 2005. "Automated Inference And Learning In Modeling Financial Volatility," Econometric Theory, Cambridge University Press, vol. 21(01), pages 232-261, February.
  18. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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Citations

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Cited by:
  1. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
  2. Roengchai Tansuchat & Chia-Lin Chang & Michael McAleer, 2010. "Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH," Working Papers in Economics 10/03, University of Canterbury, Department of Economics and Finance.
  3. Shawkat Hammoudeh & Farooq Malik & Michael McAleer, 2011. "Risk Management of Precious Metals," Documentos del Instituto Complutense de Análisis Económico 2011-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
  4. Chia-Lin Chang & Lydia González-Serrano & Juan-Ángel Jiménez-Martín, 2012. "Currency Hedging Strategies Using Dynamic Multivariate GARCH," Documentos del Instituto Complutense de Análisis Económico 2012-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, revised Feb 2012.
  5. Chang, Chia-Lin & Chang, Jui-Chuan Della & Huang, Yi-Wei, 2012. "Dynamic Price Integration in the Global Gold Market," MPRA Paper 41627, University Library of Munich, Germany.
  6. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2012. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(2), pages 207-218.
  7. Takashi Miyazaki & Yuki Toyoshima & Shigeyuki Hamori, 2012. "Exploring the dynamic interdependence between gold and other financial markets," Economics Bulletin, AccessEcon, vol. 32(1), pages 37-50.
  8. Mohamed El Hedi Arouri & Amine Lahiani & Duc Khuong Nguyen, 2013. "World gold prices and stock returns in China: insights for hedging and diversification strategies," Working Papers hal-00798038, HAL.
  9. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
  10. A. Khalifa & S. Hammoudeh & E. Otranto & S. Ramchander, 2012. "Volatility Transmission across Currency, Commodity and Equity Markets under Multi-Chain Regime Switching: Implications for Hedging and Portfolio Allocation," Working Paper CRENoS 201214, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  11. Mohamed El Hédi Arouri & Amine Lahiani & Duc Khuong Nguyen, 2012. "Oil-stock volatility transmission, portfolio selection and hedging," Economics Bulletin, AccessEcon, vol. 32(4), pages 2768-2778.

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