VSTE

ISSN (online): 1805-9112

Open access

Gold versus Bitcoin: A Comparative Analysis of Risk, Return, and Risk-Adjusted Performance

Abstract

This study compares the investment performance and risk characteristics of gold and Bitcoin over a five-year period. Daily historical price data for Gold futures (GC=F) and Bitcoin (BTC-USD) were obtained from Yahoo Finance and analyzed using a quantitative approach. Investment performance was evaluated using Compound Annual Growth Rate (CAGR), while risk was assessed through daily volatility, the Sharpe ratio, and maximum drawdown. The results show that gold achieved a higher CAGR of 19.13%, compared with 11.31% for Bitcoin. Gold also demonstrated lower daily volatility (0.0115 versus 0.0282), a higher annualized Sharpe ratio (1.00 versus 0.37), and a substantially smaller maximum drawdown (−20.43% versus −76.63%). These findings indicate that gold provided a more favorable risk–return profile during the period examined. However, the results are specific to the selected observation period and should not be interpreted as evidence of permanent superiority. The study highlights the importance of considering both return and risk when comparing traditional and digital assets.

Keywords:GoldBitcoinInvestment PerformanceRisk-Adjusted ReturnVolatilitySharpe RatioMaximum Drawdown
JEL:G11G12G15

References

  1. Badshah, W., Musah, M., & Khan, A. U. I. (2023). Is the effect of a health crisis symmetric for physical and digital financial assets? An assessment of gold and bitcoin during the pandemic. PLoS ONE, 18(11), e0288762. https://doi.org/10.1371/journal.pone.0288762 DOI: 10.1371/journal.pone.0288762
  2. Bahloul, S., Mroua, M., & Naifar, N. (2023). Re-evaluating the hedge and safe-haven properties of Islamic indexes, gold and Bitcoin: Evidence from DCC–GARCH and quantile models. Journal of Islamic Accounting and Business Research, 14(8), 1167–1181. https://doi.org/10.1108/JIABR-03-2022-0076 DOI: 10.1108/JIABR-03-2022-0076
  3. Belguith, R., Alnafisah, H., Manzli, Y. S., & Jeribi, A. (2025). Can Bitcoin and Gold Have Dynamic Hedging and Safe Haven Capabilities Against the BRICS Plus Stock Market Indices During Global Crises? An Evidence from a Time-Varying Copula Approach. Emerging Markets Finance and Trade, 61(12), 3634–3657. https://doi.org/10.1080/1540496X.2025.2486677 DOI: 10.1080/1540496X.2025.2486677
  4. Cheng, Q., Wang, X., Wang, Z., & Shi, S. (2025). Hedge and safe haven functions of gold and Bitcoin around COVID-19: Evidence from US financial assets. Applied Economics, 57(46), 7558–7579. https://doi.org/10.1080/00036846.2024.2393454 DOI: 10.1080/00036846.2024.2393454
  5. Choudhary, S., Jain, A., & Biswal, P. C. (2024). Dynamic linkages among bitcoin, equity, gold and oil: An implied volatility perspective. Finance Research Letters, 62, 105220. https://doi.org/10.1016/j.frl.2024.105220 DOI: 10.1016/j.frl.2024.105220
  6. Dutta, A., Das, D., Jana, R. K., & Xuan, V. V. (2020). COVID-19 and oil market crash: Revisiting the safe haven property of gold and Bitcoin. Resources Policy, 69, 101816. https://doi.org/10.1016/j.resourpol.2020.101816 DOI: 10.1016/j.resourpol.2020.101816
  7. Ergul, O., & Karakas, T. (2024). Analysis of the relationship of gold prices with inflation and bitcoin in the post-tapering period. Borsa Istanbul Review, 24(4), 797–805. https://doi.org/10.1016/j.bir.2024.04.009 DOI: 10.1016/j.bir.2024.04.009
  8. Fabris, N., & Ješić, M. (2023). Are Gold and Bitcoin a Safe Haven for European Indices? Journal of Central Banking Theory and Practice, 12(1), 27–44. https://doi.org/10.2478/jcbtp-2023-0002 DOI: 10.2478/jcbtp-2023-0002
  9. Gkillas, K., Bouri, E., Gupta, R., & Roubaud, D. (2022). Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin. Quarterly Review of Economics and Finance, 84, 398–406. https://doi.org/10.1016/j.qref.2020.08.004 DOI: 10.1016/j.qref.2020.08.004
  10. Gokgoz, H., Belguith, R., Bejaoui, A., & Jeribi, A. (2025). Revisiting the Hedging Effectiveness of Gold and Bitcoin against Blue Economy and Green Finance ETFs. Journal of Alternative Investments, 28(1), 75–96. DOI: 10.3905/jai.2025.1.243
  11. Hoque, M. E., Soo-Wah, L., Tiwari, A. K., & Akhter, T. (2023). Time and frequency domain connectedness and spillover among categorical and regional financial stress, gold and bitcoin market. Resources Policy, 85, 103786. https://doi.org/10.1016/j.resourpol.2023.103786 DOI: 10.1016/j.resourpol.2023.103786
  12. Joo, Y. C., & Park, S. Y. (2024). Hedging Bitcoin with commodity futures: An analysis with copper, gas, gold, and crude oil futures. North American Journal of Economics and Finance, 72, 102127. https://doi.org/10.1016/j.najef.2024.102127 DOI: 10.1016/j.najef.2024.102127
  13. Khan, I., & Faryal. (2025). On the determinants of Bitcoin returns and volatility contagion between oil, gold and stocks: Evidence using wavelet coherence and DCC-GARCH approaches. African Review of Economics and Finance-Aref, 17(2), 233–250.
  14. Kumar, A. S., & Padakandla, S. R. (2022). Testing the safe-haven properties of gold and bitcoin in the backdrop of COVID-19: A wavelet quantile correlation approach. Finance Research Letters, 47, 102707. https://doi.org/10.1016/j.frl.2022.102707 DOI: 10.1016/j.frl.2022.102707
  15. Kumar, S. (2024). On the (In)efficiency of gold and bitcoin: Impact of COVID-19. Managerial Finance, 50(8), 1480–1489. https://doi.org/10.1108/MF-02-2024-0088 DOI: 10.1108/MF-02-2024-0088
  16. Let, B., & Siemaszkiewicz, K. (2020). Looking for Alternatives in Times of Market Stress: A Tail Dependence between the European Stock Markets and Bitcoin, Gold and Fine Wine Market. Finance a Uver-Czech Journal of Economics and Finance, 70(5), 407–430.
  17. Li, J., Rao, X., Li, X., & Guan, S. (2022). Gold and Bitcoin Optimal Portfolio Research and Analysis Based on Machine-Learning Methods. Sustainability, 14(21), 14659. https://doi.org/10.3390/su142114659 DOI: 10.3390/su142114659
  18. Manzli, Y. S., & Jeribi, A. (2024a). Assessing Bitcoin, gold and gold-backed cryptocurrencies as safe havens for energy and agricultural commodities: Insights from COVID-19, Russia-Ukraine conflict and SVB collapse. Journal of Financial Economic Policy, 16(5), 656–689. https://doi.org/10.1108/JFEP-12-2023-0386 DOI: 10.1108/JFEP-12-2023-0386
  19. Manzli, Y. S., & Jeribi, A. (2024b). Shelter in Uncertainty: Evaluating Gold and Bitcoin as Safe Havens Against G7 Stock Market Indices During Global Crises. Scientific Annals of Economics and Business, 71(3), 417–447. https://doi.org/10.47743/saeb-2024-0011 DOI: 10.47743/saeb-2024-0011
  20. Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77–91. https://doi.org/10.2307/2975974 DOI: 10.1111/j.1540-6261.1952.tb01525.x
  21. Shaik, M., Rabbani, M. R., Atif, M., Aysan, A. F., Alam, M. N., & Kayani, U. N. (2024). The dynamic volatility nexus of geo-political risks, stocks, bond, bitcoin, gold and oil during COVID-19 and Russian-Ukraine war. PLoS ONE, 19(2), e0286963. https://doi.org/10.1371/journal.pone.0286963 DOI: 10.1371/journal.pone.0286963
  22. Sharpe, W. F. (1966). Mutual Fund Performance. The Journal of Business, 39(1), 119–138. DOI: 10.1086/294846
  23. Sharpe, W. F. (1994). The Sharpe Ratio. The Journal of Portfolio Management, 21(1), 49–58. https://doi.org/10.3905/jpm.1994.409501 DOI: 10.3905/jpm.1994.409501
  24. Su, C.-W., Ding, Y.-M., Wang, K.-H., & Wang, X.-Q. (2026). Testing the Safe-Haven Properties of Green Bonds, Gold, and Bitcoin for Traditional Bonds: A Wavelet Quantile Correlation Approach. Australian Economic Papers, 65(1), 16–29. https://doi.org/10.1111/1467-8454.70007 DOI: 10.1111/1467-8454.70007
  25. Su, X., & Li, Y. (2020). Dynamic sentiment spillovers among crude oil, gold, and Bitcoin markets: Evidence from time and frequency domain analyses. PLoS ONE, 15(12), e0242515. https://doi.org/10.1371/journal.pone.0242515 DOI: 10.1371/journal.pone.0242515
  26. Terraza, V., Boru Ipek, A., & Rounaghi, M. M. (2024). The nexus between the volatility of Bitcoin, gold, and American stock markets during the COVID-19 pandemic: Evidence from VAR-DCC-EGARCH and ANN models. Financial Innovation, 10(1), 22. https://doi.org/10.1186/s40854-023-00520-3 DOI: 10.1186/s40854-023-00520-3
  27. Ustaoglu, E. (2023). Diversification, hedge, and safe-haven properties of gold and bitcoin with portfolio implications during the Russia-Ukraine war. Resources Policy, 84, 103791. https://doi.org/10.1016/j.resourpol.2023.103791 DOI: 10.1016/j.resourpol.2023.103791
  28. Wang, G., Liu, C., Sbai, E., Sheng, M. S., Hu, J., & Tao, M. (2024). Interrelations between bitcoin market sentiment, crude oil, gold, and the stock market with bitcoin prices: Vision from the hedging market. Studies in Economics and Finance, 41(5), 1166–1190. https://doi.org/10.1108/SEF-03-2024-0137 DOI: 10.1108/SEF-03-2024-0137
  29. Xie, H.-X., Feng, Y., Yu, X.-Y., & Hu, Y.-N. (2023). Optimization Trading Strategy Model for Gold and Bitcoin Based on Market Fluctuation. Journal of Advanced Computational Intelligence and Intelligent Informatics, 27(1), 105–118. https://doi.org/10.20965/jaciii.2023.p0105 DOI: 10.20965/jaciii.2023.p0105
  30. Xue, Q., Ling, Y., & Tian, B. (2022). Portfolio Optimization Model for Gold and Bitcoin Based on Weighted Unidirectional Dual-Layer LSTM Model and SMA-Slope Strategy. Computational Intelligence and Neuroscience, 2022(1), 1869897. https://doi.org/10.1155/2022/1869897 DOI: 10.1155/2022/1869897
  31. Zeng, H., Lu, R., & Ahmed, A. D. (2023). Dynamic dependencies and return connectedness among stock, gold and Bitcoin markets: Evidence from South Asia and China. Equilibrium-Quarterly Journal of Economics and Economic Policy, 18(1), 49–87. https://doi.org/10.24136/eq.2023.002 DOI: 10.24136/eq.2023.002
  32. Zhang, H., Hong, H., Guo, Y., & Yang, C. (2022). Information spillover effects from media coverage to the crude oil, gold, and Bitcoin markets during the COVID-19 pandemic: Evidence from the time and frequency domains. International Review of Economics & Finance, 78, 267–285. https://doi.org/10.1016/j.iref.2021.12.005 DOI: 10.1016/j.iref.2021.12.005
  33. Zhu, X., Niu, Z., Zhang, H., Huang, J., & Zuo, X. (2022). Can gold and bitcoin hedge against the COVID-19 related news sentiment risk? New evidence from a NARDL approach. Resources Policy, 79, 103098. https://doi.org/10.1016/j.resourpol.2022.103098 DOI: 10.1016/j.resourpol.2022.103098