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	0.9876	4.44***
αARCH	0.4064	4.82***
βGARCH	0.4238	4.73***

γ₁	-2.4543	-3.29***
γ₂	5.3003	3.92***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.9876	4.44***
α ARCH Response to squared shocks	0.4064	4.82***
β GARCH Volatility persistence	0.4238	4.73***

γ₁	-2.4543	-3.29***
γ₂	5.3003	3.92***

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Z-Tech India Ltd Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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