Chegg Inc Zero Slope Spline-GARCH Volatility Analysis
Volatility prediction for Monday, October 26th, 2026
1 Day
95.46%
increased by 13.62%
1 Week
108.75%
increased by 26.91%
1 Month
116.26%
increased by 34.42%
Analysis last updated: Friday, October 23, 2026 at 11:04 PM UTC
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News Impact Curve
How returns affect tomorrow's volatilityVolatility Forecast
How volatility evolves over timeParameter Estimates
Nov 13, 2013 to Oct 23, 2026Model Insight
This model fits a time-varying baseline (a spline), so volatility mean-reverts toward a slowly-shifting long-run level rather than a constant. Short-run deviations decay with a half-life of 1 trading day.
τ
Zero Slope Spline-GARCH Model
Tap to view equation
Time-varying baseline: volatility reverts to a slowly-shifting spline trend
| Param | Value | t-stat |
|---|---|---|
| ωconst | 1.0719 | 4.69*** |
| αARCH | 0.4904 | 3.17*** |
| βGARCH | 0.1031 | 1.33 |
Spline Coefficients
K=2
| γ1 | 0.0479 | 4.68*** |
| γ2 | -0.0701 | -5.09*** |
0.593
Persistence1d
Half-lifeτ
Zero Slope Spline-GARCH Model
Tap to view equation
| Parameter | Value | t-statistic |
|---|---|---|
ω const Unconditional variance weight | 1.0719 | 4.69*** |
α ARCH Response to squared shocks | 0.4904 | 3.17*** |
β GARCH Volatility persistence | 0.1031 | 1.33 |
Spline Coefficients
K=2
| γ1 | 0.0479 | 4.68*** |
| γ2 | -0.0701 | -5.09*** |
Persistence:
0.593
Half-life:
1 days
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