Modeling Bitcoin price volatility: long memory vs Markov switching
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40822-021-00180-7.pdf
Reference63 articles.
1. Aggarwal, R., Inclán, C., & Leal, R. (1999). Volatility in emerging stock markets. Journal of Financial and Quantitative Analysis, 34, 33–55.
2. Aloui, C., & Mabrouk, S. (2010). Value-at-risk estimations of energy commodities via long-memory, asymmetry and fat-tailed GARCH models. Energy Policy, 38, 2326–2339.
3. Al-Yahyaee, K. H., Mensi, W., Al-Jarrah, I., Hamdi, A., & Kang, S. H. (2019). Volatility forecasting, downside risk, and diversification benefits of Bitcoin and oil and international commodity markets: A comparative analysis with yellow metal. The North American Journal of Economics and Finance, 49, 104–120.
4. Aradia, D., Bluteau, K., & Rüede, M. (2019). Regime changes in Bitcoin GARCH volatility dynamics. Finance Research Letters, 29, 266–271.
5. Arouri, M. H., Lahiani, A., Lévy, A., & Nguyen, D. (2012). Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models. Energy Economics, 34, 283–293.
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