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Dynamic Network Connectedness of Bitcoin Markets: Evidence from Realized Volatility
- Source :
- Frontiers in Physics, Vol 8 (2020)
- Publication Year :
- 2020
- Publisher :
- Frontiers Media SA, 2020.
-
Abstract
- In this paper, we explore the volatility spillovers across different Bitcoin markets. We decompose the realized volatility into common and idiosyncratic volatilities, as well as the good and bad volatilities. Then the asymmetry in volatility spillovers between Bitcoin markets is measured by the DY (Diebold and Yilmaz) index. In addition, we construct statistics to test the asymmetry in volatility spillovers between different Bitcoin markets. The results are achieved as follows. The spillovers of systematic and idiosyncratic volatilities dominate the connectedness among different Bitcoin markets. In addition, the idiosyncratic volatility spillovers are more easily influenced by policies. Good volatility spillovers dominate the Bitcoin markets and change over time. The further results suggest that there is significant asymmetry between systematic and idiosyncratic volatility spillovers in the Bitcoin markets, while the asymmetries between good and bad volatility spillovers are heterogeneous in different markets. The findings in this paper can provide some suggestions for regulators controlling market stability and investors generating investment strategies.
- Subjects :
- Change over time
Dynamic network analysis
Social connectedness
Realized variance
Investment strategy
Materials Science (miscellaneous)
bitcoin
Biophysics
General Physics and Astronomy
Monetary economics
connectedness
realized volatility
0502 economics and business
Market stability
Economics
050207 economics
Physical and Theoretical Chemistry
Mathematical Physics
050208 finance
05 social sciences
good and bad volatility
lcsh:QC1-999
common and idiosyncratic volatility
asymmetric
Volatility (finance)
lcsh:Physics
Subjects
Details
- ISSN :
- 2296424X
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Frontiers in Physics
- Accession number :
- edsair.doi.dedup.....19b4280e0821e22676966c3363623cda
- Full Text :
- https://doi.org/10.3389/fphy.2020.582817