V-Lab
Nikkei Stock Average Volatility Index APARCH Volatility Analysis
Volatility prediction for Monday, August 3rd, 2026
1 Day
127.45%
1 Week
125.85%
1 Month
121.08%
Analysis last updated: Friday, August 7, 2026 at 08:40 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Jan 3, 1990 to Jul 31, 2026Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 357% more than negative returns. Volatility rises more after gains than after losses, the reverse of the usual leverage effect and uncommon among risky assets. The volatility power δ = 1.12 sits below 2, so large shocks influence volatility less than quadratically, a more outlier-robust response than standard GARCH.
APARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.4005 | 11.96*** |
α ARCH Response to squared shocks | 0.1001 | 20.58*** |
β GARCH Volatility persistence | 0.8714 | 185.21*** |
γ leverage Additional response to negative shocks | -0.5887 | -10.82*** |
δ power Transformation power | 1.1246 | 32.20*** |
Persistence:
0.954
Half-life:
15 days
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