Open Access
| Issue |
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 10 | |
| Section | Finance, Risk & Global Markets | |
| DOI | https://doi.org/10.1051/shsconf/202522502010 | |
| Published online | 13 November 2025 | |
- D.G. Baur, B.M. Lucey, Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financ. Rev. 45, 217–229 (2010) https://doi.org/10.1111/j.15406288.2010.00244.x [CrossRef] [Google Scholar]
- Z. Alameer, M. Abd Elaziz, A.A. Ewees, H. Ye, Z. Jianhua, Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm. Resour. Policy 61, 250–260 (2019) https://doi.org/10.1016/j.resourpol.2019.02.014 [Google Scholar]
- S. Shafiee, E. Topal, An overview of global gold market and gold price forecasting. Resour. Policy 35, 178–189 (2010) https://doi.org/10.1016/j.resourpol.2010.05.004 [Google Scholar]
- J. Bouoiyour, A.K. Tiwari, R. Selmi, O.R. Olayeni, What drives Bitcoin price? Econ. Bull. 36, 843–850 (2016) [Google Scholar]
- S. Corbet, A. Meegan, C. Larkin, B. Lucey, L. Yarovaya, Exploring the dynamic relationships between cryptocurrencies and other financial assets. SSRN Electron. J. (2017) https://doi.org/10.1016/j.econlet.2018.01.004 [Google Scholar]
- W. Mensi, A. Sensoy, X.V. Vo, S.H. Kang, Impact of COVID-19 outbreak on asymmetric multifractality of gold and oil prices. Resour. Policy 69, 101829 (2020) https://doi.org/10.1016/j.resourpol.2020.101829 [Google Scholar]
- P. Ciaian, D.A. Kancs, M. Rajcaniova, The price of Bitcoin: GARCH evidence from high frequency data. arXiv preprint arXiv:1812.09452 (2018) [Google Scholar]
- F. Capie, T.C. Mills, G. Wood, Gold as a hedge against the dollar. J. Int. Financ. Mark. Inst. Money 15, 343–352 (2005) https://doi.org/10.1016/j.intfin.2004.07.002 [Google Scholar]
- Y. Liu, N. Naktnasukanjn, A. Tamprasirt, T. Rattanadamrongaksorn, Comparison of the asymmetric relationship between bitcoin and gold, crude oil, and the US dollar before and after the COVID-19 outbreak. J. Risk Financ. Manag. 16, 455 (2023) https://doi.org/10.3390/jrfm16100455 [Google Scholar]
- O. Poyser, Exploring the determinants of Bitcoin’s price: an application of Bayesian Structural Time Series. arXiv preprint arXiv:1706.01437 (2017) [Google Scholar]
- F. Jin, J. Li, G. Li, Modeling the linkages between Bitcoin, gold, dollar, crude oil, and stock markets: A GARCH‐EVT‐Copula approach. Discrete Dyn. Nat. Soc. 2022, 8901180 (2022) https://doi.org/10.1155/2022/8901180 [Google Scholar]
- Y. Chi, W. Hao, A horserace of volatility models for cryptocurrency: Evidence from bitcoin spot and option markets. arXiv preprint arXiv:2010.07402 (2020) [Google Scholar]
- K. Khan, J. Sun, S.D. Koseoglu, A.U. Rehman, Revisiting bitcoin price behavior under global economic uncertainty. SAGE Open 11, 21582440211040411 (2021) https://doi.org/10.1177/21582440211040411 [Google Scholar]
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