Evaluation of the association between cryptocurrencies with oil and gold prices using the BEKK multivariate GARCH model

Document Type : Research Paper

Authors

1 Department of Humanities, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran

2 Department of Accounting, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran

3 Department of Accounting, Payame Noor University, Tehran, Iran

Abstract

Due to the emergence of cryptocurrencies in the world, many people save their capital and assets like cryptocurrencies. Cryptocurrencies are associated with prices of gold and oil, and stock market indices. On this basis, the present study aimed to evaluate the association between cryptocurrencies with oil and gold prices. To this end, the study performed an evaluation using the BEKK multivariate GARCH method. Therefore, two regression models were estimated to evaluate the association between cryptocurrencies and oil and gold prices. Based on the results, the mutual relationship between cryptocurrency volatility and gold and oil prices was confirmed. In general, volatility in oil and gold prices has a positive effect on cryptocurrency volatility. Given that volatility in oil and gold prices has a positive effect on cryptocurrency volatility, and these effects will be more manifested in future periods, cryptocurrency investors are recommended to examine oil and gold prices, especially oil prices in the last 10 years, before purchasing cryptocurrencies.

Keywords

[1] S.S. Adebola, L. Gil-Alana and G. Madigu, Gold prices and the cryptocurrencies: Evidence of convergence and cointegration, Phys. A: Statist. Mech. Appl. 523 (2019), 1227–1236.
[2] S. Askari, Currency and cryptocurrency ratios in the Iranian legislative system, Legal Law 85 (2021), no. 113, 263–283.
[3] E. Bouri, D.M. Das, R. Gupta and D. Roubaud, Spillovers between bitcoin and other assets during bear and bull markets, Appl. Econ. 50 (2018), no. 55, 5935–5949.
[4] L. Catania, S. Grassi and F. Ravazzolo, Predicting the volatility of cryptocurrency time series, Centre for Applied Macro and Petroleum Economics, CAMP, CAMP Working Paper, Series 3, 2018.
[5] W.H. Chan, M. Le and Y.W. Wu, Holding Bitcoin longer: the dynamic hedging abilities of bitcoin, Quart. Rev. Econ. Finance 71 (2019), 107–113.
[6] J.L. Cross, C. Hou and K. Trinh, Returns, volatility and the cryptocurrency bubble of 2017–18, Econ. Model. 104 (2021), 105643.
[7] Y. Dadgar, F. Fahimifar and R. Nazari, A study of the synchronicity of exchange rate cycles with prices of oil, gold, and stocks in Iran using the Markov switching model with a component, Econ. Model. Structure 43 (2020), 151–193.
[8] Z. Elmi, E. Abunouri, S. Rasekhi and M.M. Shahrazi, The effect of structural failures in volatility on momentum transmission and volatility spillovers between gold and stock markets of Iran, Econ. Model. 8 (2014), no. 2, 57–73.
[9] M.H. Fotros and M. Hoshidari, Dynamic relationships between oil prices, gold prices, and exchange rates with the Tehran Stock Exchange indices, Quart. Energy Econ. Stud. 14 (2015), no. 58, 89–116.
[10] M.M. Ghazani and R. Khosravi, Multifractal detrended cross-correlation analysis on benchmark cryptocurrencies and crude oil prices, Phys. A 560 (2020), 125–172.
[11] L.A. Gil-Alana, O. Yaya and O. Awe Time series analysis of co-movements in the prices of gold and oil: Fractional cointegration approach, Resources Policy 53 (2017), 117–124.
[12] M. Gronwald, Is Bitcoin a commodity On price jumps demand shocks and certainty of supply, Money Finance 97 (2019), 86–92.
[13] A.S. Hayes, Cryptocurrency value formation: an empirical study leading to a cost of production model for valuing Bitcoin, Telematics Inf. 34 (2017), no. 7, 1308–1321.
[14] F. Jareno, M. Gonzalez, R. Lopez and A.R. Ramos, Cryptocurrencies and oil price shocks: A NARDL analysis in the COVID-19 pandemic, Resources Policy 74 (2021), 102281.
[15] Q. Ji, E. Bouri, L. Kristoufek and B. Lucey, Realized volatility connectedness among bitcoin exchange markets, Finance. Res. Lett. 38 (2019), 101–391.
[16] S. Lo and C. Wang, Bitcoin as money? Federal Reserve Bank of Boston, Current Policy Perspect. 14 (2014), no. 4, 1–28.
[17] M. McAleer, Automated inference and learning in modeling financial volatility, Econ. Theory 21 (2005), no. 1, 232-261.
[18] W. Mensi, M. Beljid, A. Boubaker and S. Managi, Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold, Econ. Model. 32 (2013), 15–22.
[19] D. Mishra, N. Rabi and G.J. Mohan, Gold prices and financial stability in India, Department of Economic and Policy Research, 2012.
[20] D.I. Okorie, Could stock hedge Bitcoin risk(s) and vice versa?, Digital Finance 2 (2019), no. 1, 117–136.
[21] D.I. Okorie and B. Lin, Crude oil price and cryptocurrencies: evidence of volatility connectedness and hedging strategy, Energy Econ. 87 (2020), 104703.
[22] D. Pal and S. Mitra, Hedging Bitcoin with other financial assets, Finance Res. Lett. 30 (2019), 30–36.
[23] A. Phillip, J. Chan and S. Peiris, A new look at cryptocurrencies, Economy 163 (2018), 6–9.
[24] S. Quamara and A. K. Singh, A systematic survey on security concerns in cryptocurrencies: State-of-the-art and perspectives, Comput. Secur. 113 (2022), 102548.
[25] R. Selmi, W. Mensi, S. Hammoudeh and J. Bouoiyour, Is Bitcoin a hedge, a safe haven, or a diversifier for oil price movements? A comparison with gold, Energy Econ. 74 (2018), 787–801.
[26] S. . Shahzad, E. Bouri, D. Roubaud, L. Kristoufek and B. Lucey, Is Bitcoin a better safe haven investment than gold and commodities?, Int. Rev. Financ. Anal. 63 (2019), 322–330.
[27] A. Turk and S. Rubino, The collapse of the Dollar and how to profit from it, Crown Pub. Group 272 (2008), no. 19.
[28] T. Vidal, The entry and exit dynamics of the cryptocurrency market, Res. Int. Bus. Finance 58 (2021), 101504.
[29] G.J. Wang, Y. Tang, C. Xie and S. Chen, Is Bitcoin a safe haven or a hedging asset? Evidence from China, J. Manag. Sci. Engin. 4 (2019), no. 3, 173–188.
[30] L. Yin, J. Nie and L. Han, Understanding cryptocurrency volatility: the role of oil market shocks, Int. Rev. Econ. Finance 72 (2021), 233–253.
[31] Y. Zhang and J. Sun, The dynamic volatility spillover between European carbon trading market and fossil energy market, J. Cleaner Prod. 112 (2016), no. 4.
Volume 14, Issue 1
January 2023
Pages 2061-2078
  • Receive Date: 15 November 2021
  • Revise Date: 20 February 2022
  • Accept Date: 01 March 2022