Baron Technology ETF MF2-GARCH Volatility Analysis
High-persistence model: shocks decay very slowly, so the theoretical long-run value may not be practically meaningful
Volatility prediction for Wednesday, July 15th, 2026
1 Day
28.80%
1 Week
37.94%
1 Month
207.82%
Analysis last updated: Wednesday, July 15, 2026 at 02:19 AM UTC
News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Dec 15, 2025 to Jul 10, 2026Model Insight
Estimated persistence of 1.000 is at or above 1 (non-stationary): volatility shocks do not decay and the long-run variance is undefined, so long-horizon forecasts should be treated with caution.
Leverage: volatility responds almost entirely to negative shocks
MF2-GARCH Model
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| Parameter | Value | t-statistic |
|---|---|---|
m window Rolling window length | 21 | |
α ARCH Response to squared shocks | 0.0000 | 0.00 |
β GARCH Volatility persistence | 0.9286 | 87.93*** |
γ leverage Additional response to negative shocks | 0.1427 | 14.30*** |
λ₁ tau intercept Baseline long-term coefficient | 0.0000 | 0.00 |
λ₂ forecast adj. Forecast performance sensitivity | 0.3462 | 15.63*** |
λ₃ tau persistence Long-term factor persistence | 0.1629 | 42.19*** |
Persistence:
1.000
Half-life:
-
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