V-Lab
S&P Asia 50 CME GJR-GARCH Volatility Analysis
Volatility prediction for Friday, September 4th, 2026
1 Day
30.93%
decreased by 1.18%
1 Week
30.81%
decreased by 1.30%
1 Month
30.35%
decreased by 1.76%
Analysis last updated: Friday, September 4, 2026 at 11:27 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 1, 1998 to Aug 27, 2026Model Insight
With persistence 0.990, volatility shocks have a half-life of 70 trading days (~0.3 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.
Leverage: Negative returns increase volatility 264% more than positive returns
σ
GJR-GARCH Model
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High persistence: persistence 0.990, shock half-life ~70 daysLeverage: Negative returns increase volatility 264% more than positive returns
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.0226 | 4.99*** |
| αARCH | 0.0293 | 3.39*** |
| βGARCH | 0.9221 | 141.04*** |
| γleverage | 0.0774 | 4.50*** |
0.990
Persistence70d
Half-lifeσ
GJR-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0226 | 4.99*** |
α ARCH Response to squared shocks | 0.0293 | 3.39*** |
β GARCH Volatility persistence | 0.9221 | 141.04*** |
γ leverage Additional response to negative shocks | 0.0774 | 4.50*** |
Persistence:
0.990
Half-life:
70 days
Other GJR-GARCH Analyses on Equity Indices