How volatility evolves over time

How illiquidity evolves over time

{name} Model Equation

How returns affect tomorrow's volatility

How returns affect tomorrow's illiquidity

Spline Coefficients

Value at Risk (VaR) estimates the maximum loss at a given confidence level. Expected Shortfall (ES) estimates the average loss beyond VaR.

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Param	Value	t-stat
αARCH	1.0000	4.92***
βGARCH	0.0000	0.00
γleverage	-0.5000	-1.60
λ₁tau intercept	771.3909

Parameter	Value	t-statistic
α ARCH Response to squared shocks	1.0000	4.92***
β GARCH Volatility persistence	0.0000	0.00
γ leverage Additional response to negative shocks	-0.5000	-1.60
λ₁ tau intercept Baseline long-term coefficient	771.3909

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OmniVision Integrated Circuits Group Inc ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other OmniVision Integrated Circuits Group Inc Analyses