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Regime-dependent good and bad volatility of Bitcoin
- Source :
- Journal of Risk and Financial Management, Volume 13, Issue 12, Journal of Risk and Financial Management, Vol 13, Iss 312, p 312 (2020)
- Publication Year :
- 2020
- Publisher :
- Basel: MDPI, 2020.
-
Abstract
- This paper analyzes high-frequency estimates of good and bad realized volatility of Bitcoin. We show that volatility asymmetry depends on the volatility regime and the forecast horizon. For one-day ahead forecasts, good volatility commands a stronger impact on future volatility than bad volatility on average and in extreme volatility regimes but not across all quantiles and volatility regimes. For 7-day ahead forecasting horizons the asymmetry is similar to that observed in stock markets and becomes stronger with increasing volatility. Compared with stock markets, the persistence and predictability of volatility is low indicating high variations of volatility.
- Subjects :
- Volatility asymmetry
050208 finance
quantile regression
Realized variance
lcsh:Risk in industry. Risk management
05 social sciences
bitcoin
volatility asymmetry
lcsh:HD61
Quantile regression
high-frequency data
HAR
lcsh:Finance
lcsh:HG1-9999
0502 economics and business
Econometrics
Economics
ddc:330
050207 economics
Volatility (finance)
Predictability
Stock (geology)
semivariance
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Journal of Risk and Financial Management, Volume 13, Issue 12, Journal of Risk and Financial Management, Vol 13, Iss 312, p 312 (2020)
- Accession number :
- edsair.doi.dedup.....68a5c763846c061ab231ae4b5371b5c9