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
ωconst	0.3213	0.08
αARCH	0.2076	0.02
βGARCH	0.7924	0.06

γ₁	-0.4110	-0.04
γ₂	0.5157	0.03
γ₃	-0.0466	0.00

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.3213	0.08
α ARCH Response to squared shocks	0.2076	0.02
β GARCH Volatility persistence	0.7924	0.06

γ₁	-0.4110	-0.04
γ₂	0.5157	0.03
γ₃	-0.0466	0.00

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Joinsoon Electroincs Mfg Co Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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