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Studies in Nonlinear Dynamics & Econometrics

Ed. by Mizrach, Bruce

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Volume 20, Issue 5


The place of gold in the cross-market dependencies

Sofiane Aboura
  • Université de Paris XIII, Sorbonne Paris Cité, CEPN (UMR-CNRS 7234), 93430 Villetaneuse, France
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Julien Chevallier
  • Corresponding author
  • IPAG Business School (IPAG Lab), 184 Boulevard Saint-Germain, 75006 Paris, France
  • Université Paris 8 (LED), 2 rue de la Liberté, 93526 Saint Denis Cedex, France
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Rania Jammazi
  • IPAG business School, France and University of Management Sciences and Economics of Sousse, Erriadh City, Tunisia
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Aviral Kumar Tiwari
Published Online: 2016-03-25 | DOI: https://doi.org/10.1515/snde-2015-0017


This paper investigates the inter-relationships between the gold price on the one hand, other precious metals (e.g. silver, palladium, platinum) and asset markets (e.g. stocks, bonds, crude oil) on the other hand. The econometric methodology relies on the Markov-switching BEKK model by Haas and Mittnik (2008) that captures time-varying correlations and bull-bear regimes for bivariate specifications. The model is applied to daily data from 1988 to 2013. The main results indicate that gold’s influence, through return and/or volatility spillovers, seems almost intact whatever the economic regime. Robustness checks of the statement that gold occupies a special place among commodities are provided under the form of a multi-asset portfolio management exercise.

This article offers supplementary material which is provided at the end of the article.

Keywords: BEKK; commodities; financial markets; gold; markov-switching; multi-asset portfolio management

JEL Classification: L61; C34; C58; E44; G15


  • Adrangi, B., A. Chatrath, and D. R. Christie. 2000. “Price Discovery in Strategically-Linked Markets: The Case of the Gold-Silver Spread.” Applied Financial Economics 10: 227–234.Google Scholar

  • Aggarwal, R., and B. M. Lucey. 2007. “Psychological Barriers in Gold Prices?” Review of Financial Economics 16: 217–230.Google Scholar

  • Aruga, K., and S. Managi. 2011. “Testing the International Linkage in the Platinum-Group Metal Futures Markets.” Resources Policy 36: 339–345.Google Scholar

  • Baba, Y., R. F. Engle, D. F. Kraft, and K. F. Kroner. 1991. “Multivariate Simultaneous Generalized ARCH.” unpublished, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

  • Bampinas, G., and T. Panagiotidis. 2015. “On the Relationship between Oil and Gold before and after Financial Crisis: Linear, Nonlinear and Time-Varying Causality Testing.” Studies in Nonlinear Dynamics & Econometrics 19: 657–668.Google Scholar

  • Baur, D. 2011. “Explanatory Mining for Gold: Contrasting Evidence from Simple and Multiple Regressions.” Resources Policy 36: 265–275.Google Scholar

  • Baur, D. 2013. “The Autumn Effect of Gold.” Research in International Business and Finance 27: 1–11.Google Scholar

  • Baur, D., and T. K. McDermott. 2010. “Is Gold a Safe Haven? International Evidence.” Journal of Banking and Finance 34: 1886–1898.Google Scholar

  • Baur, D., and B. Lucey. 2010. “Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold.” The Financial Review 45: 217–229.Google Scholar

  • Baur, D., and K. J. Glover. 2014. “Heterogeneous Expectations in the Gold Market: Specification and Estimation.” Journal of Economic Dynamics and Control 40: 116–133.Google Scholar

  • Bessler, W., and D. Wolff. 2015. “Do Commodities Add Value in Multi-Asset Portfolios? An Out-of-Sample Analysis for Different Investment Strategies.” Journal of Banking and Finance 60: 1–20.Google Scholar

  • Blose, L. E. 2010. “Gold Prices, Cost of Carry, and Expected Inflation.” Journal of Economics and Business 62: 35–47.Google Scholar

  • Bollerslev, T., R. Engle, and M. Wooldridge. 1988. “A Capital Asset Pricing Model with Time-Varying Covariances.” Journal of Political Economy 96: 116–131.Google Scholar

  • Cai, J. 1994. “A Markov Model of Unconditional Variance in ARCH.” Journal of Business and Economic Statistics 12: 309–316.Google Scholar

  • Chan K. F., S. Treepongkaruna, R. Brooks, and S. Gray. 2011. “Asset Market Linkages: Evidence from Financial, Commodity and Real Estate Assets.” Journal of Banking and Finance 35: 1415–1426.Google Scholar

  • Chng, M. T. 2009. “Economic Linkages across Commodity Futures: Hedging and Trading Implications.” Journal of Banking and Finance 33: 958–970.Google Scholar

  • Chow, G. C. 1960. “Tests of Equality between Sets of Coefficients in Two Linear Regressions.” Econometrica 28: 591–605.Google Scholar

  • Chua, J., G. Stick, and R. Woodward. 1990. “Diversifying with Gold Stocks.” Financial Analysts Journal 46: 76–79.Google Scholar

  • Ciner, C. 2001. “On the Long run Relationship between Gold and Silver: A Note.” Global Finance Journal 12: 299–303.Google Scholar

  • Davidson, S., R. Faff, and D. Hillier. 2003. “Gold Factor Exposures in International Asset Pricing.” Journal of International Financial Markets, Institutions and Money 13: 271–289.Google Scholar

  • Ding, Z., and R. Engle. 2001. “Large Scale Conditional Covariance Modeling, Estimation and Testing.” Academia Economic Papers 29: 157–184.Google Scholar

  • Dooley, M. P., P. Isard, and M. P. Taylor. 1995. “Exchange Rates, Country-Specific Shocks and Gold.” Applied Financial Economics 5: 121–129.Google Scholar

  • Engle, R. 2004. “Risk and Volatility: Econometric Models and Financial Practice.” American Economic Review 94: 405–420.Google Scholar

  • Engle, R., and F. K. Kroner. 1995. “Multivariate Simultaneous Generalized ARCH.” Econometric Theory 11: 122–150.Google Scholar

  • Faff, R., and H. Chan. 1998. “A Multifactor Model of Gold Industry Stock Returns: Evidence from the Australian Equity Market.” Applied Financial Economics 8: 21–28.Google Scholar

  • Ghosh, D., E. J. Levin, P., MacMillan, and R. E. Wright. 2002. “Gold as an Inflation Hedge?” WorkingPaper, University of Stirling, UK.Google Scholar

  • Gray, S. F. 1996. “Modeling the Conditional Distribution of Interest Rates as a Regime-Switching Process.” Journal of Financial Economics 42: 27–62.Google Scholar

  • Haas, M., and S. Mittnik. 2008. “Multivariate Regime Switching GARCH with an Application to International Stock Markets.” unpublished, http://www.ifkcfs.de/fileadmin/downloads/publications/wp/08_08.pdf.

  • Haas, M., S. Mittnik, and M. S. Paolella. 2004. “A New Approach to Markov-Switching GARCH Models.” Journal of Financial Econometrics 2: 493–530.Google Scholar

  • Hamilton, J. D. 1989a. “A New Approach to the Economic Analysis of Non-Stationary Time Series and the Business Cycle.” Econometrica 57: 357–384.Google Scholar

  • Hamilton, J. D. 1989b. “Rational-Expectations Econometric Analysis of Changes in Regime.” Journal of Economic Dynamics and Control 12: 385–423.Google Scholar

  • Hamilton, J. D., and R. Susmel. 1994. “Autoregressive Conditional Heteroskedasticity and Changes in Regime.” Journal of Econometrics 64: 307–333.Google Scholar

  • Hood, M., and F. Malik. 2013. “Is Gold the Best Hedge and a Safe Haven under Changing Stock Market Volatility?” Review of Financial Economics 22: 47–52.Google Scholar

  • Kasch, M., and M. Caporin. 2013. “Volatility Threshold Dynamic Conditional Correlations: An International Analysis.” Journal of Financial Econometrics 11: 706–742.Google Scholar

  • Kearney, A. A., and R. E. Lombra. 2009. “Gold and Platinum: Toward Solving the Price Puzzle.” Quarterly Review of Economics and Finance 49: 884–892.Google Scholar

  • Koutsoyiannis, A. 1983. “A Short-Run Pricing Model for a Speculative Asset, Tested with Data from the Gold Bullion Market.” Applied Economics 15: 563–581.Google Scholar

  • Lee, H. T., and J. K. Yoder. 2007. “A Bivariate Markov Regime Switching GARCH Approach to Estimate the Time Varying Minimum Variance Hedge Ratio.” Applied Economics 39: 253–265.Google Scholar

  • Lucey, B. M., and E. Tully. 2006a. “Seasonally, Risk and Return in Daily Comex Gold and Silver Data 1982–2002.” Applied Financial Economics 16: 319–333.Google Scholar

  • Lucey, B. M., and E. Tully. 2006b. “The Evolving Relationship between Gold and Silver 1978–2002: Evidence from a Dynamic Cointegration Analysis – a Note. Applied Financial Economics Letters 2: 47–53.Google Scholar

  • Markowitz, H. 1952. “Portfolio Selection.” Journal of Finance, 7 (1): 77–91.Web of ScienceGoogle Scholar

  • Mahdavi, S., and S. Zhou. 1997. “Gold and Commodity Prices as Leading Indicators of Inflation: Tests of Long-Run Relationship and Predictive Performance.” Journal of Economics and Business 49: 475–489.Google Scholar

  • Maheu, J. M., T. H. McCurdy, and Y. Song 2012. “Components of Bull and Bear Markets: Bull Corrections and Bear Rallies.” Journal of Business and Economic Statistics 30: 391–403.Google Scholar

  • Mensi, W., M., Beljid, A. Boubaker, and S. Managi. 2013. “Correlations and Volatility Spillovers across Commodity and Stock Markets: Linking Energies, Food and Gold.” Economic Modelling 32: 15–22.Google Scholar

  • Mills, T. C. 2004. “Statistical Analysis of Daily Gold Price Data.” Physica A: Statistical Mechanics and its Applications 338: 559–566.Google Scholar

  • Shafiee, S., and E. Topal. 2010. “An Overview of Global Gold Market and Gold Price Forecasting.” Resources Policy 35: 178–189.Google Scholar

  • Sherman, E. 1982. “Gold: A Conservative, Prudent Diversifier.” Journal of Portfolio Management 8: 21–27.Google Scholar

  • Tang, K., and W. Xiong. 2012. “Index Investment and Financialization of Commodities.” Financial Analysts Journal 68: 54–74.Google Scholar

About the article

Corresponding author: Julien Chevallier, IPAG Business School (IPAG Lab), 184 Boulevard Saint-Germain, 75006 Paris, France, Phone: +33 (0)1 49 40 73 86, Fax: +33 (0)1 49 40 72 55, e-mail: ; and Université Paris 8 (LED), 2 rue de la Liberté, 93526 Saint Denis Cedex, France

Published Online: 2016-03-25

Published in Print: 2016-12-01

Citation Information: Studies in Nonlinear Dynamics & Econometrics, Volume 20, Issue 5, Pages 567–586, ISSN (Online) 1558-3708, ISSN (Print) 1081-1826, DOI: https://doi.org/10.1515/snde-2015-0017.

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