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Nonlinear causality between oil and precious metals

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  • Bildirici, Melike E.
  • Turkmen, Ceren

Abstract

This work aims to analyze the cointegration and causality relationship among oil and precious metals of gold, silver and copper by using nonlinear ARDL and two popular nonlinear causality tests; Hiemstra and Jones (1994), and Kyrtsou and Labys (2006) test for the period from 1973:1 through 2012:11 monthly. According to the asymmetric Kyrtsou and Labys test (2006) results, an interesting finding emerges; precious metal prices returns respond nonlinearly to shocks to changes in crude oil prices only at earlier lags. Symmetric case results imply that there is evidence for bidirectional causality between pairs of oil and gold price and oil and silver price. Moreover a unidirectional relationship emerge for oil and copper prices for the asymmetric positive case and no causality for other cases. According to Hiemstra and Jones causality test, bi-directional causality between gold and oil and copper and oil and a unidirectional Granger causality running from oil price to silver price have emerged. In this way, asymmetric Kyrtsou and Labys (2006) results and Hiemstra and Jones (1994) results are different. Although the tests do not provide consistent results for the considered commodities, it can be concluded that, our models grasped the nonlinear nature in the price discovery process, hence partially captured the nonlinearity between oil and gold markets and their important role in macroeconomy.

Suggested Citation

  • Bildirici, Melike E. & Turkmen, Ceren, 2015. "Nonlinear causality between oil and precious metals," Resources Policy, Elsevier, vol. 46(P2), pages 202-211.
  • Handle: RePEc:eee:jrpoli:v:46:y:2015:i:p2:p:202-211
    DOI: 10.1016/j.resourpol.2015.09.002
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    1. Narayan, Paresh Kumar & Narayan, Seema & Zheng, Xinwei, 2010. "Gold and oil futures markets: Are markets efficient?," Applied Energy, Elsevier, vol. 87(10), pages 3299-3303, October.
    2. William A. Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan, 2004. "A Single-Blind Controlled Competition Among Tests for Nonlinearity and Chaos," Contributions to Economic Analysis, in: Functional Structure and Approximation in Econometrics, pages 581-615, Emerald Group Publishing Limited.
    3. Philip Hans Franses & Paul Kofman, 1991. "An empirical test for parities between metal prices at the LME," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(6), pages 729-736, December.
    4. Vivian, Andrew & Wohar, Mark E., 2012. "Commodity volatility breaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 395-422.
    5. Emmanuel Anoruo, 2011. "Testing for Linear and Nonlinear Causality between Crude Oil Price Changes and Stock Market Returns," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 4(3), pages 75-92, December.
    6. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    7. Sensoy, Ahmet, 2013. "Dynamic relationship between precious metals," Resources Policy, Elsevier, vol. 38(4), pages 504-511.
    8. Matthew Greenwood-Nimmo & Yongcheol Shin & Till van Treeck, 2010. "The Great Moderation and the Decoupling of Monetary Policy from Long-Term Rates in the U.S. and Germany," IMK Working Paper 15-2010, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    9. Cochran, Steven J. & Mansur, Iqbal & Odusami, Babatunde, 2012. "Volatility persistence in metal returns: A FIGARCH approach," Journal of Economics and Business, Elsevier, vol. 64(4), pages 287-305.
    10. Rodrigo A. Cerda, 2007. "Market power and primary commodity prices: the case of copper," Applied Economics Letters, Taylor & Francis Journals, vol. 14(10), pages 775-778.
    11. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    12. Dirk Baur & Duy Tran, 2014. "The long-run relationship of gold and silver and the influence of bubbles and financial crises," Empirical Economics, Springer, vol. 47(4), pages 1525-1541, December.
    13. Kyrtsou, Catherine & Labys, Walter C., 2006. "Evidence for chaotic dependence between US inflation and commodity prices," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 256-266, March.
    14. 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.
    15. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    16. Naifar, Nader & Al Dohaiman, Mohammed Saleh, 2013. "Nonlinear analysis among crude oil prices, stock markets' return and macroeconomic variables," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 416-431.
    17. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    18. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    19. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, vol. 35(3), pages 168-177, September.
    20. Cashin, Paul & McDermott, C. John & Scott, Alasdair, 2002. "Booms and slumps in world commodity prices," Journal of Development Economics, Elsevier, vol. 69(1), pages 277-296, October.
    21. 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.
    22. 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.
    23. Lescaroux, François, 2009. "On the excess co-movement of commodity prices--A note about the role of fundamental factors in short-run dynamics," Energy Policy, Elsevier, vol. 37(10), pages 3906-3913, October.
    24. Morales, Lucía & Andreosso-O'Callaghan, Bernadette, 2011. "Comparative analysis on the effects of the Asian and global financial crises on precious metal markets," Research in International Business and Finance, Elsevier, vol. 25(2), pages 203-227, June.
    25. Karantininis, Kostas & Katrakylidis, Kostas & Persson, Morten, 2011. "Price Transmission in the Swedish Pork Chain: Asymmetric non linear ARDL," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114772, European Association of Agricultural Economists.
    26. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
    27. Dwyer, Gerald Jr. & Wallace, Myles S., 1992. "Cointegration and market efficiency," Journal of International Money and Finance, Elsevier, vol. 11(4), pages 318-327, August.
    28. Claude Diebolt & Catherine Kyrtsou, 2006. "Non-Linear Perspectives for Population and Output Dynamics: New Evidence for Cliometrics," Working Papers 06-02, Association Française de Cliométrie (AFC).
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