Dynamic Interactions between Gold-Backed and Conventional Cryptocurrencies A QVAR Network Approach

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Emna Mnif
Anis Jarboui
https://orcid.org/0000-0002-4811-6729
Mohamed Amine Bouraoui

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This study investigates the volatility and interconnectedness of gold-backed cryptocurrencies—HelloGold (Hello), Bitcoin, X8X, and PaxGold—within the framework of sustainable finance and its alignment with the Sustainable Development Goals (SDGs). Utilizing quantile vector-autoregressive (QVAR) approach, the research analyzes the contributions of both short-run and long-run volatility in pairwise comparisons among these assets. The findings reveal that Bitcoin demonstrates significantly higher volatility compared to the other cryptocurrencies, especially when paired with HelloGold and PaxGold, where short-term fluctuations are particularly pronounced. In contrast, X8X exhibits greater stability, maintaining consistently low volatility across all its pairings and showing minimal contributions from both the short- and long-term horizons. These results suggest that while Bitcoin remains a highly volatile option in the cryptocurrency market, X8X and PaxGold offer more stable investment alternatives, making them potentially safer choices for portfolio diversification. Ultimately, this study provides valuable insights into the varying volatility characteristics of these digital assets, assisting investors in optimizing their portfolios amid market uncertainty.


 

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Articles

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Aloui, C., Hamida, H. B., & Yarovaya, L. (2021). Are Islamic gold-backed cryptocurrencies different? Finance Research Letters, 39, 101615. https://doi.org/10.1016/j.frl.2020.101615

Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4). https://doi.org/10.3390/jrfm13040084

Baruník, J., & Křehlík, T. (2018). Measuring the frequency dynamics of financial connectedness and systemic risk. Journal of Financial Econometrics, 16(2), 271–296. https://doi.org/10.1093/jjfinec/nby001

Chatziantoniou, I., Gabauer, D., & Gupta, R. (2021). Integration and risk transmission in the market for crude oil: A time-varying parameter frequency connectedness approach. University of Pretoria Department of Economics Working Paper Series, June. https://www.up.ac.za/media/shared/61/WP/wp_2021_47.zp209709.pdf

Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66. https://doi.org/10.1016/J.IJFORECAST.2011.02.006

Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119–134. https://doi.org/10.1016/J.JECONOM.2014.04.012

Elliott, Rothenberg, & Stock. (1996). T0130.pdf.

Hassan, M. K., Djajadikerta, H. G., Choudhury, T., & Kamran, M. (2021). Safe havens in Islamic financial markets: COVID-19 versus GFC. Global Finance Journal, 100643. https://doi.org/10.1016/J.GFJ.2021.100643

Huang, J., Chen, B., Xu, Y., & Xia, X. (2023). Time-frequency volatility transmission among energy commodities and financial markets during the COVID-19 pandemic: A novel TVP-VAR frequency connectedness approach. Finance Research Letters, 53, 103634. https://doi.org/10.1016/J.FRL.2023.103634

Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255–259. https://doi.org/10.1016/0165-1765(80)90024-5

Jiang, X. (2020). Digital economy in the post-pandemic era. Journal of Chinese Economic and Business Studies, 18(4), 333–339. https://doi.org/10.1080/14765284.2020.1855066

Koeswandana, N. A., & Sugino, F. A. (2023). Intention to use cryptocurrency: Social and religious perspective. 9(1), 91–103.

Maghyereh, A., Awartani, B., & Hassan, A. (2018). Can gold be used as a hedge against the risks of Sharia-compliant securities? Application for Islamic portfolio management. Journal of Asset Management, 19(6), 394–412. https://doi.org/10.1057/s41260-018-0090-y

Mnif, E., & Jarboui, A. (2021). Resilience of Islamic cryptocurrency markets to COVID-19 shocks and the Federal Reserve policy. Asian Journal of Accounting Research, ahead-of-print. https://doi.org/10.1108/ajar-01-2021-0004

Mnif, E., Mouakhar, K., & Jarboui, A. (2022). The co-movements of faith-based cryptocurrencies in periods of pandemics. Review of Financial Economics, 40(3), 300–311. https://doi.org/10.1002/rfe.1154

Mnif, E., Daoud, Y., Zied, A., & Jarboui, A. (2024). Islamic cryptocurrency integration for enhanced sustainable finance: evidence from time-frequency volatility transmission investigation. Journal of Chinese Economic and Business Studies, 1-19.

Rabbani, M. R., Bashar, A., Nawaz, N., Karim, S., Ali, M. A. M., Rahiman, H. U., & Alam, M. S. (2021). Exploring the role of Islamic fintech in combating the aftershocks of COVID-19: The open social innovation of the Islamic financial system. Journal of Open Innovation: Technology, Market, and Complexity, 7(2). https://doi.org/10.3390/joitmc7020136

Raimi, L., Abdur-Rauf, I. A., & Ashafa, S. A. (2024). Does Islamic sustainable finance support sustainable development goals to avert financial risk in the management of Islamic finance products? A critical literature review. Journal of Risk and Financial Management, 17(6), 236. https://doi.org/10.3390/jrfm17060236

Said, M. S., Annuar, H. A., & Hamdan, H. B. (2019). An investigation into the financial sustainability of Islamic Saving, Credit Cooperative Society (SACCOS) in Tanzania. International Journal of Ethics and Systems. https://doi.org/10.1108/IJOES-11-2018-0159

Shaikh, I. M., Qureshi, M. A., Noordin, K., Shaikh, J. M., Khan, A., & Shahbaz, M. S. (2020). Acceptance of Islamic financial technology (FinTech) banking services by Malaysian users: An extension of the technology acceptance model. Foresight, 22(3), 367–383. https://doi.org/10.1108/FS-12-2019-0105

Siswantoro, D., Handika, R., & Mita, A. F. (2020). The requirements of cryptocurrency for money: An Islamic view. Heliyon. https://doi.org/10.1016/j.heliyon.2020.e03235

Yousaf, I., & Yarovaya, L. (2022). Spillovers between the Islamic gold-backed cryptocurrencies and equity markets during the COVID-19: A sectorial analysis. Pacific-Basin Finance Journal, 71, 101705. https://doi.org/10.1016/J.PACFIN.2021.101705

Whiteside, C., & Klabbers, G. (2025). Exploring the perceptions of the effect of the COVID-19 pandemic on the mental well-being and medical education of medical students in Northern Ireland, in addition to the perceived barriers to seeking support; a qualitative study. PloS one, 20(1), e0314115.

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