V-Lab
MSCI Asia Pacific AGARCH Volatility Analysis
Volatility prediction for Friday, September 4th, 2026
1 Day
16.81%
decreased by 0.93%
1 Week
16.90%
decreased by 0.84%
1 Month
17.22%
decreased by 0.52%
Analysis last updated: Friday, September 4, 2026 at 11:28 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 1, 1990 to Aug 27, 2026Model Insight
The news-impact curve is shifted (γ = 0.50) so that negative returns raise next-day volatility more than positive returns of the same size. The gap is largest for small shocks and narrows for larger ones.
σ
AGARCH Model
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Asymmetry: negative returns raise volatility more
| Param | Value | t-stat |
|---|---|---|
| ωconst | 0.0077 | 1.53 |
| αARCH | 0.0912 | 11.41*** |
| βGARCH | 0.8868 | 109.00*** |
| γleverage | 0.5042 | 8.92*** |
0.978
Persistence31d
Half-lifeσ
AGARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.0077 | 1.53 |
α ARCH Response to squared shocks | 0.0912 | 11.41*** |
β GARCH Volatility persistence | 0.8868 | 109.00*** |
γ leverage Additional response to negative shocks | 0.5042 | 8.92*** |
Persistence:
0.978
Half-life:
31 days
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