Gold and Bitcoin Prices Trend Forecast Based on Arima and Grey Prediction
DOI:
https://doi.org/10.54691/bcpbm.v26i.2008Keywords:
Grey Forecast Model; Arima Model; BP Neural Network; Strategy Algorithm.Abstract
This paper aims to study the investment strategy of gold and bitcoin markets and look for a better solution in the investment market to obtain more profits. We first analyze and forecast the gold and bitcoin markets by establishing several models, and find out the model that can best fit gold and bitcoin. Then, based on the optimal models, the most appropriate investment algorithm is proposed to help investors make decisions on every day's investment in order to reap the greatest rewards.
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References
Bilgin, M. H., Gozgor, G., Lau, C. K. M., and Sheng, X.. The effects of uncertainty measures on the price of gold. International Review of Financial Analysis, 2018, 58, 1-7.
Al-Yahyaee, K. H., Rehman, M. U., Mensi, W., and Al-Jarrah, I. M. W. Can uncertainty indices predict bitcoin prices? A revisited analysis using partial and multivariate wavelet approaches. The North American Journal of Economics and Finance, 2019, 49, 47-56.
Kim, T. On the transaction cost of bitcoin. Finance Research Letters, 2019, 23, 300-305.
Selmi, R., Mensi, W., Hammoudeh, S., and Bouoiyour, J.. Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energy Economics, 2018, 74, 787-801.
Atsalakis, G. S., Atsalaki, I. G., Pasiouras, F., and Zopounidis, C.. Bitcoin price forecasting with neuro-fuzzy techniques. European Journal of Operational Research, 2019, 276(2), 770-780.
Das, D., and Kannadhasan, M.. Do global factors impact bitcoin prices? Evidence from wavelet approach. Journal of Economic Research, 2018, 23(3), 227-264.
Demir, E., Gozgor, G., Lau, C. K. M., and Vigne, S. A.. Does economic policy uncertainty predict the bitcoin returns? An empirical investigation. Finance Research Letters, 2018, 26, 145-149.
Fang, L., Bouri, E., Gupta, R., and Roubaud, D.. Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? International Review of Financial Analysis, 2019, 61, 29-36.
Vidal, A., and Kristjanpoller, W.. Gold volatility prediction using a CNN-LSTM approach. Expert Systems with Applications, 2020, 157, 113481.
Makala, D., and Li, Z.. Prediction of gold price with ARIMA and SVM. In Journal of Physics: Conference Series, 2021.
Wu, C. H., Lu, C. C., Ma, Y. F., and Lu, R. S. A new forecasting framework for bitcoin price with LSTM. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW) 2018, 168-175.
Karasu, S., Altan, A., Saraç, Z., and Hacioğlu, R.. Prediction of bitcoin prices with machine learning methods using time series data. In 2018 26th signal processing and communications applications conference (SIU) , 2018, 1-4.
Poyser, O.. Exploring the determinants of Bitcoin's price: an application of bayesian structural time series. arXiv preprint arXiv:1706.01437.
Atsalakis, G. S., Atsalaki, I. G., Pasiouras, F., and Zopounidis, C. Bitcoin price forecasting with neuro-fuzzy techniques. European Journal of Operational Research, 2019, 276(2), 770-780.






