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The evolving relationship between gold and silver 1978--2002: evidence from a dynamic cointegration analysis: a note

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  • Brian M. Lucey
  • Edel Tully

Abstract

This study re-examines the results of Ciner (2001), who claims that the historically stable relationship between gold and silver has broken down in the 1990s. It is shown, using a longer run of data, for both cash and futures, that this finding may be unwarranted. In particular a recursive cointegration model is used to extract the evolution of the relationship over a 25 year period. The findings are that while there are periods when the relationship is weak, overall a stable relationship prevails.

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Bibliographic Info

Article provided by Taylor and Francis Journals in its journal Applied Financial Economics Letters.

Volume (Year): 2 (2006)
Issue (Month): 1 (January)
Pages: 47-53

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Handle: RePEc:taf:apfelt:v:2:y:2006:i:1:p:47-53

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References

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  1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
  2. Christie-David, Rohan & Chaudhry, Mukesh & Koch, Timothy W., 2000. "Do macroeconomics news releases affect gold and silver prices?," Journal of Economics and Business, Elsevier, vol. 52(5), pages 405-421.
  3. Raj Aggarwal & Brian M. Lucey & Cal Muckley, 2004. "Dynamics of Equity Market Integration in Europe: Evidence of Changes over time and with events," The Institute for International Integration Studies Discussion Paper Series iiisdp019, IIIS.
  4. Koford, Kenneth & Tschoegl, Adrian E., 1998. "The market value of rarity," Journal of Economic Behavior & Organization, Elsevier, vol. 34(3), pages 445-457, March.
  5. Henrik Hansen & Søren Johansen, 1992. "Recursive Estimation in Cointegrated VAR-Models," Discussion Papers 92-13, University of Copenhagen. Department of Economics.
  6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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Citations

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Cited by:
  1. Bhar, Ramaprasad & Hammoudeh, Shawkat, 2011. "Commodities and financial variables: Analyzing relationships in a changing regime environment," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 469-484, October.
  2. Nicholas Apergis & Christina Christou & James E. Payne, 2014. "Precious metal markets, stock markets and the macroeconomic environment: a FAVAR model approach," Applied Financial Economics, Taylor & Francis Journals, vol. 24(10), pages 691-703, May.
  3. Jain, Anshul & Ghosh, Sajal, 2013. "Dynamics of global oil prices, exchange rate and precious metal prices in India," Resources Policy, Elsevier, vol. 38(1), pages 88-93.
  4. Soytas, Ugur & Sari, Ramazan & Hammoudeh, Shawkat & Hacihasanoglu, Erk, 2009. "World oil prices, precious metal prices and macroeconomy in Turkey," Energy Policy, Elsevier, vol. 37(12), pages 5557-5566, December.
  5. 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.
  6. Philippe Charlot & Vêlayoudom Marimoutou, 2014. "On the relationship between the prices of oil and the precious metals: Revisiting with a multivariate regime-switching decision tree," Working Papers hal-00980125, HAL.
  7. Sari, Ramazan & Soytas, Ugur & Hacihasanoglu, Erk, 2011. "Do global risk perceptions influence world oil prices?," Energy Economics, Elsevier, vol. 33(3), pages 515-524, May.
  8. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.

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