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	1.2952	4.73***
αARCH	0.2377	9.63***
βGARCH	0.7035	23.14***

γ₁	-0.2463	-3.44***
γ₂	0.6016	4.96***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.2952	4.73***
α ARCH Response to squared shocks	0.2377	9.63***
β GARCH Volatility persistence	0.7035	23.14***

γ₁	-0.2463	-3.44***
γ₂	0.6016	4.96***

V-Lab

Dinamik Isi Makina Yalitim Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Dinamik Isi Makina Yalitim Analyses