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	1.5085	5.38***
αARCH	0.2126	8.03***
βGARCH	0.7655	27.85***

γ₁	-0.5037	-1.78*
γ₂	0.3475	0.63

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.5085	5.38***
α ARCH Response to squared shocks	0.2126	8.03***
β GARCH Volatility persistence	0.7655	27.85***

γ₁	-0.5037	-1.78*
γ₂	0.3475	0.63

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Swaraj Suiting Limited Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Swaraj Suiting Limited Analyses