Corrected Triple Correction Method, CNN and Transfer Learning for Prediction the Realized Volatility of Bitcoin and E-Mini S&P500
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Published:2024-03
Issue:3
Volume:45
Page:1194-1206
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ISSN:1995-0802
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Container-title:Lobachevskii Journal of Mathematics
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language:en
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Short-container-title:Lobachevskii J Math
Publisher
Pleiades Publishing Ltd
Reference25 articles.
1. V. A. Manevich, A. A. Peresetsky, and P. V. Pogorelova, ‘‘Stock market and cryptocurrency market volatility,’’ Prikl. Ekonometr. 65, 65–76 (2022).
https://doi.org/10.22394/1993-7601-2022-65-65-76
2. A. Dutta, E. Bouri, and T. Saeed, ‘‘News-based equity market uncertainty and crude oil volatility,’’ Energy 222, 119930 (2021).
https://doi.org/10.1016/j.energy.2021.119930
3. L. Wang, F. Ma, J. Hao, and X. Gao, ‘‘Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?,’’ Int. Rev. Financ. Anal. 76, 101756 (2021).
https://doi.org/10.1016/j.irfa.2021.101756
4. D. Singhal and K. Swarup, ‘‘Electricity price forecasting using artificial neural networks,’’ Int. J. Electr. Power Energy Syst. 33, 550–555 (2011).
https://doi.org/10.1016/j.ijepes.2010.12.009
5. W. Kristjanpoller and M. C. Minutolo, ‘‘Forecasting volatility of oil price using anartificial neural network-garch model,’’ Expert Syst. Appl. 65, 233–241 (2016).
https://doi.org/10.1016/j.eswa.2016.08.045