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Modeling Copper Price: A Regime-Switching Approach

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  • Javier García-Cicco
  • Roque Montero

Abstract

This paper explores the virtues of Markov-Switching models to characterize the behavior of copper price. In particular, we study the performance of several univariate specifications of this type of models, both in and out of sample, comparing them also with constant parameter models such as ARMA and GARCH. The main finding is that allowing for a regime-switching variance in the error term is most relevant in explaining the behavior of this price.

Suggested Citation

  • Javier García-Cicco & Roque Montero, 2011. "Modeling Copper Price: A Regime-Switching Approach," Working Papers Central Bank of Chile 613, Central Bank of Chile.
    • Handle: RePEc:chb:bcchwp:613
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    File URL: https://www.bcentral.cl/documents/33528/133326/DTBC_613.pdf
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    References listed on IDEAS

    as
    1. Chan, Wing Hong & Young, Denise, 2009. "A New Look at Copper Markets: A Regime-Switching Jump Model," Working Papers 2009-13, University of Alberta, Department of Economics.
    2. Choi, Kyongwook & Hammoudeh, Shawkat, 2010. "Volatility behavior of oil, industrial commodity and stock markets in a regime-switching environment," Energy Policy, Elsevier, vol. 38(8), pages 4388-4399, August.
    3. Hong, Han & Preston, Bruce, 2012. "Bayesian averaging, prediction and nonnested model selection," Journal of Econometrics, Elsevier, vol. 167(2), pages 358-369.
    4. Garcia, Rene, 1998. "Asymptotic Null Distribution of the Likelihood Ratio Test in Markov Switching Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 763-788, August.
    5. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    6. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    7. Chernozhukov, Victor & Hong, Han, 2003. "An MCMC approach to classical estimation," Journal of Econometrics, Elsevier, vol. 115(2), pages 293-346, August.
    8. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
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    Cited by:

    1. Roque Montero, 2012. "Does Linearity in the Dynamics of Inflation Gap and Unemployment Rate Matter?," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 27(1), pages 3-26, April.
    2. Salles, Andre Assis de & Magrath, Raphael Sebastian & Malheiros, Matheus Manzani, 2019. "Determination of Copper Price Expectations in the International Market: Some Important Variables," MPRA Paper 95812, University Library of Munich, Germany, revised 31 Aug 2019.

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