Evaluating Oil- and Gold-Backed Cryptocurrencies in Sanctioned Economies: Valuation, Stability, and Cryptographic Dimensions

Document Type : Research Paper

Authors

1 Faculty of Economics, University of Tehran, Tehran, Iran.

2 Faculty of Economics, Allameh Tabataba'i University, Tehran, Iran.

3 Department of Smart Security, Konyang University, Nonsan, Republic of Korea.

4 Department of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Kraków, Poland.

Abstract

Countries facing high inflation and sanctions, particularly resource-rich economies such as Iran and Venezuela, may benefit from resource-backed cryptocurrencies as tools for monetary stability. In this study, global oil and gold prices were converted into the Iranian Rial using the free-market U.S. dollar exchange rate. We assess the viability of a crude oil-pegged digital asset using daily data on Iran’s free-market exchange rates, global gold prices, and the Rial value of crude oil. Applying Jensen’s conditional dynamic alpha and GARCH-modeled volatility, we find that gold consistently outperforms the U.S. dollar in risk-adjusted returns, supporting the case for dual oil- and gold-backing. Integrating gold into an oil-backed cryptocurrency enhances stability and resilience against macroeconomic shocks. To ensure credibility and transparency, we examine cryptographic mechanisms including zero-knowledge reserve proofs, secure oracles, and smart contract governance. The results provide a replicable valuation framework for resource-backed cryptocurrencies, demonstrate their potential to deliver stable, risk-adjusted returns, and offer policy-relevant insights for sanctioned or inflation-prone economies with natural resources seeking alternative monetary instruments. This study contributes to the literature on asset-backed digital currencies by combining financial modeling with cryptographic design, highlighting the role of multi-commodity collateralization in strengthening decentralized monetary systems under economic and geopolitical constraints.

Keywords

Main Subjects


Adrian, T., & Mancini-Griffoli, T. (2021). The rise of digital money. IMF Staff Papers, SSRN, 68(2), 345-361.
Baumeister, C., & Kilian, L. (2016). Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us. Journal of Economic Perspectives, 30(1), 139-160.
Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886-1898.
Bayati, H., Tajdini, S., Jung, S. W., & Lotfi Ghahroud, M. (2025). Enhanced portfolio performance evaluation using adjusted dynamic conditional Jensen’s alpha: A time-sensitive risk approach. Journal of Mathematics and Modeling in Finance, 89-101.
Chatziantoniou, I., Elsayed, A. H., Gabauer, D., & Gozgor, G. (2023). Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies. Energy Economics, 120, 106627.
Chen, X., Cheng, Q., & Luo, T. (2024). The economic value of blockchain applications: Early evidence from asset-backed securities. Management Science, 70(1), 439-463.
Chohan, U. W. (2024). The Decentralized Autonomous Organization and Governance Issues, Book,139 Taylor & Francis.
Davydov, V., Krymov, A., Ozmaden, D., Pashchenko, Y., Tenyaev, A., & Yanovich, Y. (2023, July). Non-Fungible Tokens in Asset-Backed Securitization. In 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS) (pp. 1017-1020). IEEE.
Ferson, W. E., & Qian, M. (2004). Conditional performance evaluation, revisited (pp. 1-85). Research Foundation of CFA Institute.
Ferson, W. E., & Schadt, R. W. (1996). Measuring fund strategy and performance in changing economic conditions. The Journal of finance, 51(2), 425-461.
Gong, H. (2024). Tokenised Real-World Assets (RWA) and Decentralised Physical Infrastructure Networks (DePIN). In The Web3 Revolution: Building the Future of Blockchain, DeFi, and the Metaverse (pp. 175-197). Berkeley, CA: Apress.
Gottschalk, S. (2023). International Financial Regulation of Cryptoassets and Asset-Backed Tokens. In Fintech, Pandemic, and the Financial System: Challenges and Opportunities (pp. 145-181). Emerald Publishing Limited.
Goutte, S., Guesmi, K., & Saadi, S. (Eds.). (2021). Cryptofinance: a new currency for A new economy. World Scientific.
Guo, X. (2022). Dynamic Roles of Digital Currency: An Exploration from Interactive Processes: Difference, Time, and Perspective. Copenhagen Business School.
Hamilton, J. D. (2009). Causes and Consequences of the Oil Shock of 2007–08. Brookings Papers on Economic Activity, 2009(1), 215-283.
Hou, D., Ma, W., Zhang, W., Li, Y., Du, Y., & Hao, Y. (2024). An on‐chain trading model of real world asset backed digital assets. IET Blockchain, 4(4), 315-323.
Jalan, A., Matkovskyy, R., & Yarovaya, L. (2021). “Shiny” crypto assets: A systemic look at gold-backed cryptocurrencies during the COVID-19 pandemic. International Review of Financial Analysis, 78, 101958.
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Khan, S. (2022). A review of Blockchain Technology applications for financial services. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(3), 100073.
Jensen, M. C. (1968). The Performance of Mutual Funds in the Period 1945-1964. Journal of Finance, 23(2), 389-416.
Kilian, L. (2008). The Economic Effects of Energy Price Shocks. Journal of Economic Literature, 46(4), 871-909.
Mehrara, M., & Tajdini, S. (2020). Comparison of profitability of speculation in the foreign exchange market and investment in Tehran Stock Exchange during Iran's currency crisis using conditional Sharpe ratio. Advances in Mathematical Finance and Applications, 5(3), 271-284.
Mushaddik, I. N., Sharofiddin, A., & Hassan, A. (2023). Integrating gold-backed cryptocurrency for blockchain net settlement to achieve future economic stability. Journal of Islam in Asia (E-ISSN 2289-8077), 20(2), 304-344.
Qezelbash, M., Tajdini, S., Jafari, F., Lotfi Ghahroud, M., & Farajnezhad, M. (2023). An analysis of volatility and herd behavior among investors in the S&P500 stock market index, Bitcoin, and gold markets. Journal of Mathematics and Modeling in Finance, 3(2), 77-92.
Sharma, D. K., Singh, N. C., Noola, D. A., Doss, A. N., & Sivakumar, J. (2022). A review on various cryptographic techniques & algorithms. Materials Today: Proceedings, 51, 104-109.
Sunny, J., Undralla, N., & Pillai, V. M. (2020). Supply chain transparency through blockchain-based traceability: An overview with demonstration. Computers & Industrial Engineering, 150, 106895.
Subramani, S., M, S., A, K., & Svn, S. K. (2025). Review of security methods based on classical cryptography and quantum cryptography. Cybernetics and Systems, 56(3), 302-320.
Tajdini, S., Hamooni, A., Maghsoudi, J., Jafari, F., & Lotfi Ghahroud, M. (2021). Trade war and the balanced trade-monetary theory. Journal of Mathematics and Modeling in Finance, 1(2), 81-95.
Tajdini, S., Mehrara, M., & Taiebnia, A. (2023). Investigating the fluctuations of exchange rate based on monetary‐behaviour approach. International Journal of Finance & Economics, 28(2), 1242-1249.