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On the time‐varying links between oil and gold: New insights from the rolling and recursive rolling approaches

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  • Mehmet Balcilar
  • Zeynel Abidin Ozdemir
  • Muhammad Shahbaz

Abstract

This study analyses the dynamic linkages between oil and gold prices for the spot and 1‐ to 12‐month futures markets using monthly data over the period 1983–2016. To do this, we use the rolling and recursive rolling Granger causality approaches. The distinguishing feature of this study from the previous studies is that this is the first study investigating the causal links between oil and gold using time‐varying causality tests. The findings show that the causality links between oil and gold display strong time variation. Although causal links are not detected for most of the study period, strong bidirectional or unidirectional causality is found in several subsamples. The duration of the periods with causality links varies from a few months to 3 years, whereas the duration for the noncausality periods might be 15 years long. By date stamping the causality links between oil and gold, our paper discovers that causality from oil to gold is related to large oil price changes, whereas causality from gold to oil is related to large financial crises. The evidence obtained in the paper points out the dangers of assuming a constant causality link between oil and gold markets because these links might break down unexpectedly. Our findings point out to the dangers of assuming noncausality between oil and gold particularly in hedging oil price risk using gold.

Suggested Citation

  • Mehmet Balcilar & Zeynel Abidin Ozdemir & Muhammad Shahbaz, 2019. "On the time‐varying links between oil and gold: New insights from the rolling and recursive rolling approaches," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 1047-1065, July.
  • Handle: RePEc:wly:ijfiec:v:24:y:2019:i:3:p:1047-1065
    DOI: 10.1002/ijfe.1704
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    Cited by:

    1. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Energies, MDPI, vol. 12(17), pages 1-17, September.
    2. Opeoluwa Adeniyi Adeosun & Richard Olaolu Olayeni & Mosab I. Tabash & Suhaib Anagreh, 2023. "Revisiting the Oil and Food Prices Dynamics: A Time Varying Approach," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(3), pages 275-309, November.
    3. Tiwari, Aviral Kumar & Aye, Goodness C. & Gupta, Rangan & Gkillas, Konstantinos, 2020. "Gold-oil dependence dynamics and the role of geopolitical risks: Evidence from a Markov-switching time-varying copula model," Energy Economics, Elsevier, vol. 88(C).
    4. Udi Joshua & Festus V. Bekun & Samuel A. Sarkodie, 2020. "New Insight into the Causal Linkage between Economic Expansion, FDI, Coal consumption, Pollutant emissions and Urbanization in South Africa," Working Papers 20/011, European Xtramile Centre of African Studies (EXCAS).
    5. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    6. Sofia Karagiannopoulou & Konstantina Ragazou & Ioannis Passas & Alexandros Garefalakis & Nikolaos Sariannidis, 2023. "The Impact of the COVID-19 Pandemic on the Volatility of Cryptocurrencies," IJFS, MDPI, vol. 11(1), pages 1-17, March.
    7. Umer Shahzad & Muhammad Ramzan & Muhammad Ibrahim Shah & Buhari DoÄŸan & Ahdi Noomen Ajmi, 2022. "Analyzing the Nexus Between Geopolitical Risk, Policy Uncertainty, and Tourist Arrivals: Evidence From the United States," Evaluation Review, , vol. 46(3), pages 266-295, June.
    8. Huo, Dongxia & Bagadeem, Salim & Elsherazy, Tarek Abbas & Nasnodkar, Siddhesh Prabhu & Kalra, Akash, 2023. "Renewable energy consumption and the rising effect of climate policy uncertainty: Fresh policy analysis from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1459-1474.
    9. Salisu, Afees A. & Gupta, Rangan & Nel, Jacobus & Bouri, Elie, 2022. "The (Asymmetric) effect of El Niño and La Niña on gold and silver prices in a GVAR model," Resources Policy, Elsevier, vol. 78(C).
    10. Xunfa Lu & Zhitao Ye & Kin Keung Lai & Hairong Cui & Xiao Lin, 2022. "Time-Varying Causalities in Prices and Volatilities between the Cross-Listed Stocks in Chinese Mainland and Hong Kong Stock Markets," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    11. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh & BenSaïda, Ahmed & Hernandez, Jose Arreola & Kang, Sang Hoon, 2023. "Dependence and risk management of portfolios of metals and agricultural commodity futures," Resources Policy, Elsevier, vol. 82(C).
    12. Bonato, Matteo & Gupta, Rangan & Lau, Chi Keung Marco & Wang, Shixuan, 2020. "Moments-based spillovers across gold and oil markets," Energy Economics, Elsevier, vol. 89(C).
    13. Libo Yin, 2022. "The role of intermediary capital risk in predicting oil volatility," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 401-416, January.
    14. Mehmet Balcilar & Zeynel Abidin Ozdemir & Bedriye Tunçsiper & Huseyin Ozdemir & Muhammad Shahbaz, 2020. "On the nexus among carbon dioxide emissions, energy consumption and economic growth in G-7 countries: new insights from the historical decomposition approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 8097-8134, December.
    15. Shuo YANG, 2025. "Identifying Multiple Bubbles and Time-Varying Contagion Effect between Iron Ore and China's Stock Markets: A New Recursive Evolving Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 81-100, April.
    16. Raggad, Bechir & Bouri, Elie, 2023. "Gold and crude oil: A time-varying causality across various market conditions," Resources Policy, Elsevier, vol. 86(PA).
    17. Mehmet Balcilar & Ojonugwa Usman & Busra Agan, 2024. "On the connectedness of commodity markets: A critical and selective survey of empirical studies and bibliometric analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 97-136, February.
    18. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Fed’s unconventional monetary policy and risk spillover in the US financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 42-52.
    19. I. Sahadudheen & P. K. Santhosh Kumar, 2025. "The Volatility Spillover Between Global Crude Oil and Gold Market: Evidence from Wavelet Coherence and Cross-power Spectrum Models," Computational Economics, Springer;Society for Computational Economics, vol. 66(4), pages 3063-3080, October.
    20. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2021. "A note on oil price shocks and the forecastability of gold realized volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 28(21), pages 1889-1897, December.
    21. Khan, Asad Ul Islam & Shahbaz, Muhammad & Napari, Ayuba, 2023. "Subsample stability, change detection and dynamics of oil and metal markets: A recursive approach," Resources Policy, Elsevier, vol. 83(C).
    22. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    23. Hung, Ngo Thai & Vo, Xuan Vinh, 2021. "Directional spillover effects and time-frequency nexus between oil, gold and stock markets: Evidence from pre and during COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 76(C).

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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