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	2.1243	5.65***
αARCH	0.1693	9.79***
βGARCH	0.8132	49.53***

γ₁	0.0967	6.95***
γ₂	-0.1872	-8.26***
γ₃	0.1536	5.49***

Parameter	Value	t-statistic
ω const Unconditional variance weight	2.1243	5.65***
α ARCH Response to squared shocks	0.1693	9.79***
β GARCH Volatility persistence	0.8132	49.53***

γ₁	0.0967	6.95***
γ₂	-0.1872	-8.26***
γ₃	0.1536	5.49***

V-Lab

Sinpas Gayrimenkul Yatirim Ortakligi AS Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Sinpas Gayrimenkul Yatirim Ortakligi AS Analyses