Commodity and equity markets: Some stylized facts from a copula approach
AbstractIn this paper, we propose to identify the dependence structure that exists between returns on equity and commodity futures and its development over the past 20years. The key point is that we do not impose any dependence structure, but let the data select it. To do so, we model the dependence between commodity (metal, agriculture and energy) and stock markets using a flexible approach that allows us to investigate whether the co-movement is: (i) symmetrical and frequent, (ii) (a) symmetrical and mostly present during extreme events and (iii) asymmetrical and mostly present during extreme events. We also allow for this dependence to be time-varying from January 1990 to February 2012. Our analysis uncovers three major stylised facts. First, we find that the dependence between commodity and stock markets is time-varying, symmetrical and occurs most of the time (as opposed to mostly during extreme events). Second, not allowing for time-varying parameters in the dependence distribution generates a bias towards an evidence of tail dependence. Similarly, considering only tail dependence may lead to false evidence of asymmetry. Third, a growing co-movement between industrial metals and equity markets is identified as early as 2003; this co-movement spreads to all commodity classes and becomes unambiguously stronger with the global financial crisis after Fall 2008.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Banking & Finance.
Volume (Year): 37 (2013)
Issue (Month): 12 ()
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Web page: http://www.elsevier.com/locate/jbf
Copula; Commodity market; Time varying; Tail-dependence; Comovement; Equity market;
Other versions of this item:
- Delatte, A-L. & Lopez, C., 2013. "Commodity and Equity Markets: Some Stylized Facts from a Copula," Working papers 421, Banque de France.
- Delatte, Anne-Laure & Lopez, Claude, 2013. "Commodity and Equity Markets: Some Stylized Facts from a Copula Approach," CEPR Discussion Papers 9558, C.E.P.R. Discussion Papers.
- Delatte, Anne-Laure & Lopez, Claude, 2012. "Commodity and Equity Markets: Some Stylized Facts from a Copula Approach," MPRA Paper 39860, University Library of Munich, Germany.
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- F30 - International Economics - - International Finance - - - General
- Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
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- Silvennoinen, Annastiina & Thorp, Susan, 2013.
"Financialization, crisis and commodity correlation dynamics,"
Journal of International Financial Markets, Institutions and Money,
Elsevier, vol. 24(C), pages 42-65.
- Annastiina Silvennoinen & Susan Thorp, 2010. "Financialization, Crisis and Commodity Correlation Dynamics," Research Paper Series 267, Quantitative Finance Research Centre, University of Technology, Sydney.
- Ning, Cathy, 2010. "Dependence structure between the equity market and the foreign exchange market-A copula approach," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 743-759, September.
- Andrew Patton, 2004.
"Modelling Asymmetric Exchange Rate Dependence,"
wp04-04, Warwick Business School, Finance Group.
- Y. Malevergne & D. Sornette, 2001.
"Testing the Gaussian Copula Hypothesis for Financial Assets Dependences,"
- Y. Malevergne & D. Sornette, 2003. "Testing the Gaussian copula hypothesis for financial assets dependences," Quantitative Finance, Taylor & Francis Journals, vol. 3(4), pages 231-250.
- Y. Malevergne & D. Sornette, 2001. "Testing the Gaussian Copula Hypothesis for Financial Assets Dependences," Papers cond-mat/0111310, arXiv.org.
- Yannick Malevergne & Didier Sornette, 2003. "Testing the Gaussian copula hypothesis for financial assets dependences," Post-Print hal-00520539, HAL.
- François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, 04.
- Desmoulins-Lebeault, François & Kharoubi-Rakotomalala, Cécile, 2012. "Non-Gaussian diversification: When size matters," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1987-1996.
- Koedijk, Kees & Kole, Erik & Verbeek, Marno, 2006.
"Selecting Copulas for Risk Management,"
CEPR Discussion Papers
5652, C.E.P.R. Discussion Papers.
- David Bicchetti & Nicolas Maystre, 2012.
"The Synchronized And Long-Lasting Structural Change On Commodity Markets: Evidence From High Frequency Data,"
UNCTAD Discussion Papers
208, United Nations Conference on Trade and Development.
- Bicchetti, David & Maystre, Nicolas, 2012. "The synchronized and long-lasting structural change on commodity markets: evidence from high frequency data," MPRA Paper 37486, University Library of Munich, Germany.
- Ke Tang & Wei Xiong, 2010. "Index Investment and Financialization of Commodities," NBER Working Papers 16385, National Bureau of Economic Research, Inc.
- Chollete, Lorán & de la Peña, Victor & Lu, Ching-Chih, 2011. "International diversification: A copula approach," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 403-417, February.
- Thierry Ane & Cecile Kharoubi, 2003. "Dependence Structure and Risk Measure," The Journal of Business, University of Chicago Press, vol. 76(3), pages 411-438, July.
- Daskalaki, Charoula & Skiadopoulos, George, 2011. "Should investors include commodities in their portfolios after all? New evidence," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2606-2626, October.
- 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.
- Ling Hu, 2006. "Dependence patterns across financial markets: a mixed copula approach," Applied Financial Economics, Taylor & Francis Journals, vol. 16(10), pages 717-729.
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