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[1]
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Analysis of Ethereum versus Bitcoin: The GARCH approach
The 5TH ISM INTERNATIONAL STATISTICAL CONFERENCE 2021 (ISM-V): Statistics in the Spotlight: Navigating the New Norm,
2023
DOI:10.1063/5.0112690
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[2]
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ANALISIS VOLATILITAS BITCOIN MENGGUNAKAN MODEL ARCH DAN GARCH
Jurnal Gaussian,
2023
DOI:10.14710/j.gauss.12.2.254-265
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[3]
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Performance of the Realized-GARCH Model against Other GARCH Types in Predicting Cryptocurrency Volatility
Risks,
2023
DOI:10.3390/risks11120211
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[4]
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COVID Asymmetric Impact on the Risk Premium of Developed and Emerging Countries’ Stock Markets
Mathematics,
2022
DOI:10.3390/math10091353
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[5]
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The exponentiated half logistic skew-t distribution with GARCH-type volatility models
Scientific African,
2022
DOI:10.1016/j.sciaf.2022.e01253
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[6]
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Less is More: Bitcoin Volatility Forecast Using Feature Selection and Deep Learning Models
2022 IEEE 20th International Conference on Industrial Informatics (INDIN),
2022
DOI:10.1109/INDIN51773.2022.9976100
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[7]
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Less is More: Bitcoin Volatility Forecast Using Feature Selection and Deep Learning Models
2022 IEEE 20th International Conference on Industrial Informatics (INDIN),
2022
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[8]
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Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities
IEEE Access,
2020
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[9]
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Business Information Systems Workshops
Lecture Notes in Business Information Processing,
2020
DOI:10.1007/978-3-030-61146-0_12
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[10]
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Comparing the Performances of GARCH-type Models in Capturing Cryptocurrencies Volatility
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS,
2020
DOI:10.37394/23207.2020.17.62
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