V-Lab
CBOE China ETF Volatility Index MF2-GARCH Volatility Analysis
Last recorded values (Monday, February 14th, 2022):
1 Day
106.54%
1 Week
101.59%
1 Month
92.36%
Analysis last updated: Saturday, September 3, 2022 at 05:01 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Mar 16, 2011 to Feb 11, 2022Model Insight
This asset shows a rare inverse leverage effect: volatility responds almost entirely to positive returns, rising far more after gains than after losses. This is the reverse of the usual leverage effect, rare among risky assets.
MF2-GARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 51 | |
α ARCH Response to squared shocks | 0.2225 | 25.31*** |
β GARCH Volatility persistence | 0.6836 | 46.21*** |
γ leverage Additional response to negative shocks | -0.1862 | -11.95*** |
λ₁ tau intercept Baseline long-term coefficient | 10.0000 | 1.17 |
λ₂ forecast adj. Forecast performance sensitivity | 0.6562 | 1.65* |
λ₃ tau persistence Long-term factor persistence | 0.0000 | 0.00 |
Persistence:
0.813
Half-life:
3 days
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