IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v47y2022ipbs1544612322000964.html
   My bibliography  Save this article

Consumption- and speculation-led change in demand for oil and the response of base metals: A Markov-switching approach

Author

Listed:
  • Alam, Md Rafayet
  • Forhad, Md. Abdur Rahman
  • Sah, Nilesh B.

Abstract

We examine how base metal returns respond to various oil shocks applying Markov-switching models. We find that both consumption-led and speculation-led increase in demand for oil increase metal returns while an increase in oil supply decreases metal returns. However, the effects of oil supply shocks and speculation-led oil demand shocks are statistically significant mostly in the high volatility regimes indicating a stronger link between oil and base metals in the volatile markets. Our novel finding of regime-dependent relation between oil and metal markets has important implications for both investors and policy makers.

Suggested Citation

  • Alam, Md Rafayet & Forhad, Md. Abdur Rahman & Sah, Nilesh B., 2022. "Consumption- and speculation-led change in demand for oil and the response of base metals: A Markov-switching approach," Finance Research Letters, Elsevier, vol. 47(PB).
    • Handle: RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322000964
    DOI: 10.1016/j.frl.2022.102783
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322000964
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.102783?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Narayan, Paresh Kumar & Narayan, Seema & Zheng, Xinwei, 2010. "Gold and oil futures markets: Are markets efficient?," Applied Energy, Elsevier, vol. 87(10), pages 3299-3303, October.
    2. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    3. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    4. Jain, Anshul & Ghosh, Sajal, 2013. "Dynamics of global oil prices, exchange rate and precious metal prices in India," Resources Policy, Elsevier, vol. 38(1), pages 88-93.
    5. Nasir, Muhammad Ali & Balsalobre-Lorente, Daniel & Huynh, Toan Luu Duc, 2020. "Anchoring inflation expectations in the face of oil shocks & in the proximity of ZLB: A tale of two targeters," Energy Economics, Elsevier, vol. 86(C).
    6. Uddin, Gazi Salah & Rahman, Md Lutfur & Shahzad, Syed Jawad Hussain & Rehman, Mobeen Ur, 2018. "Supply and demand driven oil price changes and their non-linear impact on precious metal returns: A Markov regime switching approach," Energy Economics, Elsevier, vol. 73(C), pages 108-121.
    7. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2016. "The impact of oil shocks on exchange rates: A Markov-switching approach," Energy Economics, Elsevier, vol. 54(C), pages 11-23.
    8. Fong, Wai Mun & See, Kim Hock, 2002. "A Markov switching model of the conditional volatility of crude oil futures prices," Energy Economics, Elsevier, vol. 24(1), pages 71-95, January.
    9. Thai-Ha Le & Youngho Chang, 2011. "Oil and gold: correlation or causation?," Economics Bulletin, AccessEcon, vol. 31(3), pages 1-31.
    10. Lescaroux, François, 2009. "On the excess co-movement of commodity prices--A note about the role of fundamental factors in short-run dynamics," Energy Policy, Elsevier, vol. 37(10), pages 3906-3913, October.
    11. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    12. Bhar, Ramaprasad & Hammoudeh, Shawkat, 2011. "Commodities and financial variables: Analyzing relationships in a changing regime environment," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 469-484, October.
    13. 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.
    14. Demirer, Rıza & Ferrer, Román & Shahzad, Syed Jawad Hussain, 2020. "Oil price shocks, global financial markets and their connectedness," Energy Economics, Elsevier, vol. 88(C).
    15. Nasir, Muhammad Ali & Huynh, Toan Luu Duc & Yarovaya, Larisa, 2020. "Inflation targeting & implications of oil shocks for inflation expectations in oil-importing and exporting economies: Evidence from three Nordic Kingdoms," International Review of Financial Analysis, Elsevier, vol. 72(C).
    16. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    17. Huang, Dayong & Li, Jay Y. & Wu, Kai, 2021. "The effect of oil supply shocks on industry returns," Journal of Commodity Markets, Elsevier, vol. 24(C).
    18. Lee, Hsiu-Yun & Chen, Show-Lin, 2006. "Why use Markov-switching models in exchange rate prediction?," Economic Modelling, Elsevier, vol. 23(4), pages 662-668, July.
    19. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    20. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    21. Alfred Haug & Syed Basher & Perry Sadorsky, 2016. "The impact of oil price shocks on exchange rates: A non-linear smooth-transition approach," EcoMod2016 9226, EcoMod.
    22. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.
    23. Umar, Zaghum & Riaz, Yasir & Zaremba, Adam, 2021. "Patterns of Spillover in Energy, Agricultural, and Metal Markets: A Connectedness Analysis for Years 1780-2020," Finance Research Letters, Elsevier, vol. 43(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Xiao-Qing & Wu, Tong & Zhong, Huaming & Su, Chi-Wei, 2023. "Bubble behaviors in nickel price: What roles do geopolitical risk and speculation play?," Resources Policy, Elsevier, vol. 83(C).
    2. Algirdas Justinas Staugaitis & Bernardas Vaznonis, 2022. "Financial Speculation Impact on Agricultural and Other Commodity Return Volatility: Implications for Sustainable Development and Food Security," Agriculture, MDPI, vol. 12(11), pages 1-27, November.
    3. Lim, B.A. & Lim, S. & Pang, Y.L. & Shuit, S.H. & Kuan, S.H., 2023. "Critical review on the development of biomass waste as precursor for carbon material as electrocatalysts for metal-air batteries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Youssef, Manel & Mokni, Khaled, 2021. "Oil-gold nexus: Evidence from regime switching-quantile regression approach," Resources Policy, Elsevier, vol. 73(C).
    2. Das, Debojyoti & Bhatia, Vaneet & Kumar, Surya Bhushan & Basu, Sankarshan, 2022. "Do precious metals hedge crude oil volatility jumps?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    3. Mokni, Khaled & Hammoudeh, Shawkat & Ajmi, Ahdi Noomen & Youssef, Manel, 2020. "Does economic policy uncertainty drive the dynamic connectedness between oil price shocks and gold price?," Resources Policy, Elsevier, vol. 69(C).
    4. Debojyoti Das & M Kannadhasan & Malay Bhattacharyya, 2020. "Oil price shocks and emerging stock markets revisited," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(6), pages 1583-1614, December.
    5. Shahbaz, Muhammad & Khan, Asad ul Islam & Mubarak, Muhammad Shujaat, 2023. "Roling-window bounds testing approach to analyze the relationship between oil prices and metal prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 388-395.
    6. Johnson A. Oliyide & Oluwasegun B. Adekoya & Muhammad A. Khan, 2021. "Economic policy uncertainty and the volatility connectedness between oil shocks and metal market: An extension," International Economics, CEPII research center, issue 167, pages 136-150.
    7. 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.
    8. Maitra, Debasish & Guhathakurta, Kousik & Kang, Sang Hoon, 2021. "The good, the bad and the ugly relation between oil and commodities: An analysis of asymmetric volatility connectedness and portfolio implications," Energy Economics, Elsevier, vol. 94(C).
    9. Lau, Marco Chi Keung & Vigne, Samuel A. & Wang, Shixuan & Yarovaya, Larisa, 2017. "Return spillovers between white precious metal ETFs: The role of oil, gold, and global equity," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 316-332.
    10. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    11. Nasim, Asma & Downing, Gareth, 2023. "Energy shocks and bank performance in the advanced economies," Energy Economics, Elsevier, vol. 118(C).
    12. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2020. "Spillovers and co-movements between precious metals and energy markets: Implications on portfolio management," Resources Policy, Elsevier, vol. 69(C).
    13. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Agricultural commodity markets and oil prices: An analysis of the dynamic return and volatility connectedness," Resources Policy, Elsevier, vol. 73(C).
    14. Liu, Renren & Chen, Jianzhong & Wen, Fenghua, 2021. "The nonlinear effect of oil price shocks on financial stress: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    15. Chatziantoniou, Ioannis & Elsayed, Ahmed H. & Gabauer, David & Gozgor, Giray, 2023. "Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies," Energy Economics, Elsevier, vol. 120(C).
    16. Fasanya, Ismail O. & Adekoya, Oluwasegun B. & Adetokunbo, Abiodun M., 2021. "On the connection between oil and global foreign exchange markets: The role of economic policy uncertainty," Resources Policy, Elsevier, vol. 72(C).
    17. Jiang, Wei & Chen, Yunfei, 2022. "The time-frequency connectedness among metal, energy and carbon markets pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 77(C).
    18. Du, He & Zhang, Chunguang, 2024. "Economic policy uncertainty and natural resources commodity prices: A comparative analysis of pre- and post-pandemic quantile trends in China," Resources Policy, Elsevier, vol. 88(C).
    19. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Oil price shocks and the return and volatility spillover between industrial and precious metals," Energy Economics, Elsevier, vol. 99(C).
    20. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2020. "The hedging effectiveness of industrial metals against different oil shocks: Evidence from the four newly developed oil shocks datasets," Resources Policy, Elsevier, vol. 69(C).

    More about this item

    Keywords

    Base metal returns; Oil shocks; Markov-switching;
    All these keywords.

    JEL classification:

    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322000964. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.