What drives volatility in Bitcoin market?
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DOI: 10.1016/j.frl.2022.103237
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References listed on IDEAS
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Cited by:
- Feng, Lingbing & Qi, Jiajun & Lucey, Brian, 2024. "Enhancing cryptocurrency market volatility forecasting with daily dynamic tuning strategy," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Algieri, Bernardina & Lawuobahsumo, Kokulo & Leccadito, Arturo, 2024. "Calendar Effects on Returns, Volatility and Higher Moments: Evidence from Crypto Markets," LIDAM Discussion Papers LFIN 2024001, Université catholique de Louvain, Louvain Finance (LFIN).
- Haritha GB & Sahana N. B, 2023. "Cryptocurrency Price Prediction using Twitter Sentiment Analysis," Papers 2303.09397, arXiv.org.
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More about this item
Keywords
Bitcoin; Cryptocurrency markets; Volatility; Dynamic model averaging;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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