Deutsche Bank FX Volatility Index APARCH Volatility Analysis
Volatility prediction for Friday, July 17th, 2026
1 Day
27.90%
1 Week
30.51%
1 Month
37.22%
Analysis last updated: Friday, July 17, 2026 at 11:34 PM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Aug 29, 2001 to Apr 4, 2025Model Insight
This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 91% 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 = 1.27 sits below 2, so large shocks influence volatility less than quadratically, a more outlier-robust response than standard GARCH.
APARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 0.2646 | 17.42*** |
α ARCH Response to squared shocks | 0.2131 | 28.02*** |
β GARCH Volatility persistence | 0.7574 | 101.41*** |
γ leverage Additional response to negative shocks | -0.2479 | -12.98*** |
δ power Transformation power | 1.2748 | 25.49*** |
Persistence:
0.935
Half-life:
10 days
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