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Persistence of precious metal prices: A fractional integration approach with structural breaks

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  • Gil-Alana, Luis A.
  • Chang, Shinhye
  • Balcilar, Mehmet
  • Aye, Goodness C.
  • Gupta, Rangan

Abstract

This paper analyses the statistical properties of five major precious metal prices (gold, silver, rhodium, palladium and platinum) based on a fractional integration modelling framework while identifying structural breaks. We use monthly data from 1972:1 to 2013:12. Our results indicate orders of integration that are equal to or greater than 1 (long memory) in all cases except for silver and palladium where we find strong evidence of mean reversion with a parametric and semiparametric method, respectively. Given some inconsistencies between the parametric and semiparametric results, we suspect the possibility of structural breaks and our results show evidence of structural breaks in almost all cases except palladium. However, after accounting for structural breaks, we find evidence of an increase in the degree of persistence across time in the majority of cases. This implies that in general, shocks to these precious metals will be permanent requiring strong policy measures to return the series to their equilibrium levels in the event of negative shocks.

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  • Gil-Alana, Luis A. & Chang, Shinhye & Balcilar, Mehmet & Aye, Goodness C. & Gupta, Rangan, 2015. "Persistence of precious metal prices: A fractional integration approach with structural breaks," Resources Policy, Elsevier, vol. 44(C), pages 57-64.
  • Handle: RePEc:eee:jrpoli:v:44:y:2015:i:c:p:57-64
    DOI: 10.1016/j.resourpol.2014.12.004
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    1. repec:rfa:aefjnl:v:5:y:2018:i:6:p:76-83 is not listed on IDEAS
    2. Gil-Alana, Luis A. & Aye, Goodness C. & Gupta, Rangan, 2015. "Trends and cycles in historical gold and silver prices," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 98-109.
    3. Cunado, Juncal & Gil-Alana, Luis A. & Gupta, Rangan, 2019. "Persistence in trends and cycles of gold and silver prices: Evidence from historical data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 345-354.
    4. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2018. "The volatility effect on precious metals prices in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-34, Eastern Mediterranean University, Department of Economics.
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    6. Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.
    7. Omane-Adjepong, Maurice & Boako, Gidoen & Alagidede, Paul, 2018. "Modelling heterogeneous speculation in Ghana’s foreign exchange market: Evidence from ARFIMA-FIGARCH and Semi-Parametric methods," MPRA Paper 86617, University Library of Munich, Germany.
    8. Yong Jiang, 2018. "Does strategic commodities price respond to U.S. Partisan Conflict? Evidence from a parametric test of Granger causality in quantiles," Papers 1810.08396, arXiv.org.
    9. Kirkulak-Uludag, Berna & Lkhamazhapov, Zorikto, 2016. "The volatility dynamics of spot and futures gold prices: Evidence from Russia," Research in International Business and Finance, Elsevier, vol. 38(C), pages 474-484.
    10. Omane-Adjepong, Maurice & Boako, Gideon, 2017. "Long-range dependence in returns and volatility of global gold market amid financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 188-202.
    11. repec:eee:jpolmo:v:39:y:2017:i:5:p:775-789 is not listed on IDEAS
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    More about this item

    Keywords

    Precious metal; Unit root; Long memory; Structural break;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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