• Medientyp: E-Artikel
  • Titel: Excess Volatility in Bitcoin: Extreme Value Volatility Estimation
  • Beteiligte: Kayal, Parthajit; Balasubramanian, G.
  • Erschienen: SAGE Publications, 2021
  • Erschienen in: IIM Kozhikode Society & Management Review
  • Sprache: Englisch
  • DOI: 10.1177/2277975220987686
  • ISSN: 2277-9752; 2321-029X
  • Schlagwörter: General Medicine
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  • Anmerkungen:
  • Beschreibung: <jats:p> This article investigates the excess volatility in Bitcoin prices using an unbiased extreme value volatility estimator. We capture the time-varying nature of the excess volatility using bootstrap, multi-horizon, sub-sampling and rolling-window approaches. We observe that Bitcoin price changes are almost efficient. Although Bitcoin prices exhibit high volatility and show signs of excess volatility for a few periods, it is decreasing over time. After controlling for the outliers, we also notice that the Bitcoin market shows signs of increasing maturity. Overall, Bitcoin prices show a sign of increasing efficiency with decreasing volatility. Our findings have implications for investors making investment decisions and for regulators making policy choices. </jats:p>