共 71 条
[1]
Aggarwal D., Chandrasekaran S., Annamalai B., A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices, J. Behav. Exp. Financ., 27, (2020)
[2]
Aggarwal A., Gupta I., Garg N., Goel A., Deep learning approach to dtermine the impact of socio economic factors on bitcoin price prediction, In: 2019 Twelfth International Conference on Contemporary Computing (IC3), pp. 1-5
[3]
Agosto A., Cafferata A., Financial bubbles: a study of co-explosivity in the cryptocurrency market, Risks, 8, 2, (2020)
[4]
Antonakakis N., Chatziantoniou I., Gabauer D., Cryptocurrency market contagion: market uncertainty, market complexity, and dynamic portfolios, J. Int. Financ. Markets. Inst. Money, 61, pp. 37-51, (2019)
[5]
Arsy F.A., Demand forecasting of Toyota Avanza cars in Indonesia: grey systems approach, Int. J. Grey Syst., 1, 1, pp. 38-47, (2021)
[6]
Aste T., Cryptocurrency market structure: Connecting emotions and economics, Digital Finance, 1, 1-4, pp. 5-21, (2019)
[7]
Atsalakis G.S., Atsalaki I.G., Pasiouras F., Zopounidis C., Bitcoin price forecasting with neuro-fuzzy techniques, Eur. J. Oper. Res., 276, 2, pp. 770-780, (2019)
[8]
Azari A., Bitcoin Price Prediction: An ARIMA Approach
[9]
Can we afford integrity by proof-of-work? Scenarios inspired by the bitcoin currency
[10]
Begusic S., Kostanjcar Z., Eugene Stanley H., Podobnik B., Scaling properties of extreme price fluctuations in Bitcoin markets, Phys. A, 510, pp. 400-406, (2018)