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	1.0338	1.34
αARCH	0.2314	0.02
βGARCH	0.7686	0.06

γ₁	-0.0342	0.00
γ₂	-0.0144	0.00
γ₃	0.1015	0.05

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0338	1.34
α ARCH Response to squared shocks	0.2314	0.02
β GARCH Volatility persistence	0.7686	0.06

γ₁	-0.0342	0.00
γ₂	-0.0144	0.00
γ₃	0.1015	0.05

V-Lab

Cyient Limited Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Cyient Limited Analyses