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Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system

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  • Zhao, Jing

Abstract

In this paper, we investigate the time-varying effects of geopolitical risks on various natural resources prices from October 1992 to October 2022. We divided natural resources into three groups: minerals, precious metals and industrial metals. The hybrid TVP-VAR model is utilized in order to solve the over-computation problem of the large-scale system with 20 variables. The model provides a more flexible and accurate approach to identify and determine whether geopolitical risk has a time-varying effect on certain resource price from data itself. The results showed that geopolitical risks have relatively obvious time-varying effect on most minerals, time-invariant effect on gold, platinum and industrial metals. Gold can act as a safe-haven to hedge the increase in geopolitical risk. The impulse intensity of geopolitical risk on resource price is generally stronger in the short term and much weaker in the long term. Under different historical time points, the impacts of geopolitical risk on some of the resources show different trends. The results indicate that regulations, early risk warning mechanisms and emergency plans should be established to ensure the stable supply of domestic resources and the smooth operation of the market when geopolitical events occur.

Suggested Citation

  • Zhao, Jing, 2023. "Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system," Resources Policy, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723001757
    DOI: 10.1016/j.resourpol.2023.103467
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    as
    1. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    2. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    3. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    4. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    5. Abdel-Latif, Hany & El-Gamal, Mahmoud, 2020. "Financial liquidity, geopolitics, and oil prices," Energy Economics, Elsevier, vol. 87(C).
    6. Reboredo, Juan C., 2012. "Modelling oil price and exchange rate co-movements," Journal of Policy Modeling, Elsevier, vol. 34(3), pages 419-440.
    7. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    8. Tiwari, Aviral Kumar & Boachie, Micheal Kofi & Suleman, Muhammed Tahir & Gupta, Rangan, 2021. "Structure dependence between oil and agricultural commodities returns: The role of geopolitical risks," Energy, Elsevier, vol. 219(C).
    9. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    10. Mishra, Aswini Kumar & Ghate, Kshitish, 2022. "Dynamic connectedness in non-ferrous commodity markets: Evidence from India using TVP-VAR and DCC-GARCH approaches," Resources Policy, Elsevier, vol. 76(C).
    11. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael & Thompson, Mark A., 2010. "Precious metals-exchange rate volatility transmissions and hedging strategies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 633-647, October.
    12. Huang, Jianbai & Li, Yingli & Zhang, Hongwei & Chen, Jinyu, 2021. "The effects of uncertainty measures on commodity prices from a time-varying perspective," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 100-114.
    13. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    14. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    15. 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).
    16. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    17. Kamal, Javed Bin & Wohar, Mark & Kamal, Khaled Bin, 2022. "Do gold, oil, equities, and currencies hedge economic policy uncertainty and geopolitical risks during covid crisis?," Resources Policy, Elsevier, vol. 78(C).
    18. Ahmed, Maruf Yakubu & Sarkodie, Samuel Asumadu, 2021. "COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility," Resources Policy, Elsevier, vol. 74(C).
    19. Lee, Junsoo & List, John A. & Strazicich, Mark C., 2006. "Non-renewable resource prices: Deterministic or stochastic trends?," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 354-370, May.
    20. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    21. Ivanovski, Kris & Hailemariam, Abebe, 2022. "Time-varying geopolitical risk and oil prices," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 206-221.
    22. Bouoiyour, Jamal & Selmi, Refk & Hammoudeh, Shawkat & Wohar, Mark E., 2019. "What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?," Energy Economics, Elsevier, vol. 84(C).
    23. Ekananda, Mahjus, 2022. "Role of macroeconomic determinants on the natural resource commodity prices: Indonesia futures volatility," Resources Policy, Elsevier, vol. 78(C).
    24. Gevorkyan, Arkady, 2017. "Renewable versus nonrenewable resources: an analysis of volatility in futures prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(1), January.
    25. Cheng, Sheng & Zhang, Zongyou & Cao, Yan, 2022. "Can precious metals hedge geopolitical risk? Fresh sight using wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).
    26. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2013. "Primary commodity prices: Co-movements, common factors and fundamentals," Journal of Development Economics, Elsevier, vol. 101(C), pages 16-26.
    27. Huang, Jianbai & Dong, Xuesong & Chen, Jinyu & Zhong, Meirui, 2022. "Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 433-445.
    28. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    29. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    30. Joshua C. C. Chan, 2023. "Large Hybrid Time-Varying Parameter VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(3), pages 890-905, July.
    31. Akdoğan, Kurmaş, 2020. "Fundamentals versus speculation in oil market: The role of asymmetries in price adjustment?," Resources Policy, Elsevier, vol. 67(C).
    32. Gary Koop & Dimitris Korobilis, 2023. "Bayesian Dynamic Variable Selection In High Dimensions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1047-1074, August.
    33. Ghoshray Atanu & Kejriwal Mohitosh & Wohar Mark, 2014. "Breaks, trends and unit roots in commodity prices: a robust investigation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(1), pages 23-40, February.
    34. Fleming, Jeff & Ostdiek, Barbara, 1999. "The impact of energy derivatives on the crude oil market," Energy Economics, Elsevier, vol. 21(2), pages 135-167, April.
    35. Kim, Hyeongwoo & Zhang, Yunxiao, 2020. "Investigating properties of commodity price responses to real and nominal shocks," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    36. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    37. Manuel Landajo & María José Presno & Paula Fernández González, 2021. "Stationarity in the Prices of Energy Commodities. A Nonparametric Approach," Energies, MDPI, vol. 14(11), pages 1-16, June.
    38. Presno, María José & Landajo, Manuel & Fernández, Paula, 2014. "Non-renewable resource prices: A robust evaluation from the stationarity perspective," Resource and Energy Economics, Elsevier, vol. 36(2), pages 394-416.
    39. Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
    40. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    41. Huang, Jianbai & Ding, Qian & Zhang, Hongwei & Guo, Yaoqi & Suleman, Muhammad Tahir, 2021. "Nonlinear dynamic correlation between geopolitical risk and oil prices: A study based on high-frequency data," Research in International Business and Finance, Elsevier, vol. 56(C).
    42. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.
    43. Zhang, Yanyan & chang, Hsuling & Saliba, Chafic & Hasnaoui, Amir, 2022. "Metallic natural resources commodity prices volatility in the pandemic: Evidence for silver, platinum, and palladium," Resources Policy, Elsevier, vol. 78(C).
    44. Mark, Joy, 2011. "Gold and the US dollar: Hedge or haven?," Finance Research Letters, Elsevier, vol. 8(3), pages 120-131, September.
    45. Atanu Ghoshray, 2013. "Dynamic Persistence of Primary Commodity Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 153-164.
    46. Olanipekun, Ifedolapo Olabisi & Alola, Andrew Adewale, 2020. "Crude oil production in the Persian Gulf amidst geopolitical risk, cost of damage and resources rents: Is there asymmetric inference?," Resources Policy, Elsevier, vol. 69(C).
    47. Regnier, Eva, 2007. "Oil and energy price volatility," Energy Economics, Elsevier, vol. 29(3), pages 405-427, May.
    48. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    49. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    50. Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2018. "Reducing Dimensions in a Large TVP-VAR," Working Paper series 18-37, Rimini Centre for Economic Analysis.
    51. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Noman, Ambreen, 2021. "The volatility connectedness of the EU carbon market with commodity and financial markets in time- and frequency-domain: The role of the U.S. economic policy uncertainty," Resources Policy, Elsevier, vol. 74(C).
    52. Sokratis Mitsas & Petros Golitsis & Khurshid Khudoykulov, 2022. "Investigating the impact of geopolitical risks on the commodity futures," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2049477-204, December.
    53. West, Kenneth D. & Wong, Ka-Fu, 2014. "A factor model for co-movements of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 289-309.
    54. Noguera-Santaella, José, 2016. "Geopolitics and the oil price," Economic Modelling, Elsevier, vol. 52(PB), pages 301-309.
    55. Yang, Cai & Niu, Zibo & Gao, Wang, 2022. "The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach," Resources Policy, Elsevier, vol. 76(C).
    56. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
    57. Qadan, Mahmoud, 2019. "Risk appetite and the prices of precious metals," Resources Policy, Elsevier, vol. 62(C), pages 136-153.
    58. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    59. C. T. Vidya & K. P. Prabheesh, 2020. "Implications of COVID-19 Pandemic on the Global Trade Networks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2408-2421, August.
    60. Li, Yingli & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic spillovers of geopolitical risks and gold prices: New evidence from 18 emerging economies," Resources Policy, Elsevier, vol. 70(C).
    61. Arkady Gevorkyan, 2017. "Renewable versus nonrenewable resources: an analysis of volatility in futures prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(1), pages 19-35, January.
    62. Manuel Landajo & María José Presno, 2022. "The prices of renewable commodities: a robust stationarity analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 447-470, April.
    63. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2019. "Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors," Journal of Econometrics, Elsevier, vol. 212(1), pages 137-154.
    64. Ji, Qiang & Liu, Bing-Yue & Nehler, Henrik & Uddin, Gazi Salah, 2018. "Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach," Energy Economics, Elsevier, vol. 76(C), pages 115-126.
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    More about this item

    Keywords

    Natural resources prices; Hybrid TVP-VAR model; Geopolitical risks; Large TVP-VAR system; Time-varying analysis;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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