The empirical Test of price Volatility and the volatilities Spillover between the Energy(oil and gas) and Steel

Document Type : Research Paper


1 گروه حسابداری، پردیس دانشکده بین الملل، واحد قشم، دانشگاه آزاد اسلامی

2 گروه حسابداری، دانشکده اقتصاد و حسابداری، واحد تهران جنوب، دانشگاه آزاد اسلامی

3 گروه حسابداری، واحد بندرعباس، دانشگاه آزاد اسلامی

4 مدرس مدعو، دانشگاه آزاد اسلامی واحد قشم



Interdependence of markets may cause fluctuations in one market to positively or negatively affect another market. Therefore, investigating the behavior of fluctuations in financial markets and their causes in financial asset pricing processes, implementation of global risk hedging strategies and asset portfolio preference decision-making is of great importance. Given the importance of this issue, the current research aims to model energy and steel price volatility and experimentally test the spillover of fluctuations between markets using the GARCH BEKK model, during a 10-year period of 2013-2022. The data of the current research were extracted from daily data from the World Data Bank, Coin and Currency Information Site, and Economic and Financial Data Bank; then, using the Dickey-Fuller and Phillips-Perron tests, the significance of the data was evaluated. After that, the spillover effect of fluctuations between the markets was tested using the univariate GARCH and GARCH BEKK tests. The results of the first hypothesis indicate that the energy market has turbulence during the study period. As a result of the second hypothesis, it was found that the effect of turbulence exists in the price of steel during the study period. Finally, the result of the third hypothesis showed that there is an overflow of fluctuations from the price of oil and gas to the price of steel.


Main Subjects


    1. Abanomey, W.S., Mathur, I., 2001. International portfolios with commodity futures and currency forward contracts. J. Invest. 10 (3), 61–68.
    2. Abdoli, A., Khal'atbari, M., Ebrahimi Zaker, S., Heydari, N., Tavana, M., & Gharedaghi, M. (2021). The impact of the coronavirus on the global oil and gas market and its future outlook. Sustainability, Development and Environment, 2(1), 61-83.
    3. Addison, T., & Ghoshray, A. (2023). Discerning trends in international metal prices in the presence of nonstationary volatility. Resource and Energy Economics, 71, 101334.
    4. Aghili Moghadam, A., Abbasi, E., Nasabian, S., & Damankeshideh, M. (2020). Regional gas prices' susceptibility to crude oil prices in the global market (vector error correction modeling approach). Journal of Economic Modeling, 14(49), 89-110. doi: 10.30495/eco.2020.674205
    5. Ahmed, A. D., & Huo, R. (2021). Volatility transmissions across international oil market, commodity futures and stock markets: Empirical evidence from China. Energy Economics, 93, 104741.
    6. Andreasson, P., Bekiros, S., Nguyen, D.K., Uddin, G.S., 2016. Impact of speculation and economic uncertainty on commodity markets. Int. Rev. Financ. Anal. 43, 115–127.
    7. Batten, J.A., Ciner, C., Lucey, B.M., 2010. The macroeconomic determinants of volatility in precious metals markets. Resour. Pol. 35 (2), 65–71.
    8. Behboudi, D., Pourhossein, A., & Niki Oskouyi, K. (2016). The relationship between natural gas and crude oil prices in regional gas markets. Journal of Energy Policy and Planning Research, 2(2), 29-59.
    9. Bernard, J.T., Khalaf, L., Kichian, M., McMahon, S., 2008. Forecasting commodity prices: GARCH, jumps, and mean reversion. J. Forecast. 27 (4), 279–291.
    10. Brent, M.M., Oster, I.I. (1974). Nutritional substitution -- a new approach to microbial control for Drosophila cultures. D. I. S. 51(): 155--157
    11. Chen, Y., Xu, J., & Miao, J. (2023). Dynamic volatility contagion across the Baltic dry index, iron ore price and crude oil price under the COVID-19: A copula-VAR-BEKK-GARCH-X approach. Resources Policy, 81, 103296.
    12. Dadgar, M., & Varharami, V. (2023). Investigating the asymmetric relationship between crude oil price and the COVID-19 pandemic with trading volume in the stock market. Investment Knowledge, 12(47), 191-216.
    13. Dutta, A., & Hasib Noor, M. (2017). Oil and non-energy commodity markets: An empirical analysis of volatility spillovers and hedging effectiveness. Cogent Economics & Finance, 5(1), 1324555.
    14. Farid, S., Kayani, G. M., Naeem, M. A., & Shahzad, S. J. H. (2021). Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic. Resources Policy, 72, 102101.
    15. Furlong, F., Ingenito, R., 1996. Commodity prices and inflation. Econ. Rev. Fed. Reserv. Bank San Francisco 2, 27–47.
    16. Garbade, K.D., & Silber, W.L. (1983), ‘Dominant satellite relationship between live cattle cash and futures markets’, The Journal of Futures Markets, 10(2), P: 123-136.
    17. Gazel, S., 2018. Degerli metaller ve makroekonomik degis ¸kenler: türkiye i?çin bir fourier es¸bütünles¸me testi uygulaması. J. Manag. Econ. 25 (2), 527–542.
    18. Guo, Y., Ma, F., Li, H., & Lai, X. (2022). Oil price volatility predictability based on global economic conditions. International Review of Financial Analysis, 82, 102195.
    19. Hammoudeh, S., Yuan, Y., 2008. Metal volatility in presence of oil and interest rate shocks. Energy Econ. 30 (2), 606–620.
    20. Hoffman, G.H. (1931), ‘Factors affecting prices in organized commodity markets’, Annals of the American Academy of Political and Social Science 155, P: 91-99.
    24. Kang, S.H., McIver, R., Yoon, S.M., 2017. Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets. Energy Econ. 62, 19–32.
    25. Mahalik, M. K., Acharya, D., & Babu, M. S. (2009). Price discovery and volatility spillovers in futures and spot commodity markets: Some empirical evidence from India. IGIDR Proceedings/Project Reports Series, (062-10).‏
    26. Mohammadi, T., Ghasemi, A., & Nekonam, A. (2018). Natural gas price response to crude oil price changes in the European and Asian regional markets: A Markov regime-switching approach. Iranian Journal of Energy Economics, 7(27), 1-30. doi: 10.22054/jiee.2018.9135
    27. Mohammadi, T., Ghasemi, A., Asali, M., & Nekonam, A. (2018). Natural gas price response to crude oil price changes in the regional gas markets of Europe and America: A regime-switching vector autoregression model. Journal of Energy Economics Studies, 14(58), 1-26.
    28. Raza, S. A., Masood, A., Benkraiem, R., & Urom, C. (2023). Forecasting the volatility of precious metals prices with global economic policy uncertainty in pre and during the COVID-19 period: Novel evidence from the GARCH-MIDAS approach. Energy Economics, 120, 106591.
    29. Reboredo, J.C., 2013. Is gold a hedge or safe haven against oil price movements? Resour. Pol. 38 (2), 130–137.
    30. Reboredo, J.C., Ugolini, A., 2016. The impact of downward/upward oil price movements on metal prices. Resour. Pol. 49, 129–141.
    31. Sadorsky, P., 2014. Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat. Energy Econ. 43, 72–81.
    32. Salek, N., Khorsandi, M., Faridzad, A., Ghasemi, A., & Mohammadi, T. (2022). Investigating the role of fundamental market factors in the global crude oil price. Journal of Energy Economics Studies, 18(75), 35-82.
    33. Sefidbakht, E., & Ranjbar, M. H. (2017). "Volatility Spillover between Oil Price, Exchange Rates, Gold Price and Stock Market Indexes with Structural Breaks". Financial Engineering and Portfolio Management, Volume 8, Issue 33, PP. 51-87
    34. Selmi, R., Mensi, W., Hammoudeh, S., Bouoiyour, J., 2018. Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Econ. 74, 787–801.
    35. Shahzad, S.J.H., Rehman, M.U., Jammazi, R., 2019a. Spillovers from oil to precious metals: quantile approaches. Resour. Pol. 61, 508–521.
    36. Skiadopoulos, G., 2012. Investing in commodities: popular beliefs and misconceptions. J. Asset Manag. 13 (2), 77–83.
    37. Soytas, U., Sari, R., Hammoudeh, S., Hacihasanoglu, E., 2009. World oil prices, precious metal prices and macroeconomy in Turkey. Energy Pol. 37 (12), 5557–5566.
    38. Spierdijk, L., & Umar, Z. (2011). “Are Commodities a Good Hedge against Inflation? A Comparative Approach” Netspar discussion paper, 2011. spierdijk/inflation_umar_spierdijk_may_2011_submitted.Pdf
    39. Sujit, K.S., Kumar, B.R., 2011. Study on dynamic relationship among gold price, oil price, exchange rate and stock market returns. Int. J. Appl. Bus. Econ. Res. 9 (2), 145–165.
    40. Umar, Z., Jareño, F., & Escribano, A. (2021). Oil price shocks and the return and volatility spillover between industrial and precious metals. Energy Economics, 99, 105291.
    41. Varharami, V., & Moradalian, M. J. (2021). Decomposing crude oil price and its impact on the efficiency of selected stock price index with VECM. Financial Economics, 15(55), 313-332.
    42. Working, H. (1948), ‘Theory of inverse carrying charge in futures markets’, Journal of Farm Economics 30 February.
    43. Working, (1962), ‘New concepts concerning futures markets and prices’, American Economic Review 52 June
    44. Xiuzhen, X., Zheng, W., & Umair, M. (2022). Testing the fluctuations of oil resource price volatility: A hurdle for economic recovery. Resources Policy, 79, 102982.
    45. Yapraklı, S., Kaplan, F., 2018. Petrol fiyatlarının altın fiyatları üzerindeki dogrudan ve dolaylı etkileri: ekonometrik bir aras¸tırma. Ekonomi Bilimleri Dergisi 10 (1), 50–69.
    46. Yıldırım, D. Ç., Cevik, E. I., & Esen, Ö. (2020). Time-varying volatility spillovers between oil prices and precious metal prices. Resources Policy, 68, 101783.
    47. Zapata, H., Fortenbery, T.R. and Armstrong, D. (2005)’, ‘Price discovery in the world sugar futures and cash markets: implications for the Dominican Republic’, Staff Working Paper No.469, March, Agricultural and Applied Economics.
    48. Zaremba, A., Umar, Z., Mikutowski, M., 2021. Commodity financialization and price comovement: lessons from two centuries of evidence. Financ. Res. Lett. 38.
    49. Zhang, Y.J., Wei, Y.M., 2010. The crude oil market and the gold market: evidence for cointegration, causality and price discovery. Resour. Pol. 35 (3), 168–177.