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	1.0975	8.64***
αARCH	0.1828	3.77***
βGARCH	0.2472	2.03**

γ₁	-0.5835	-3.15***
γ₂	1.3491	4.35***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0975	8.64***
α ARCH Response to squared shocks	0.1828	3.77***
β GARCH Volatility persistence	0.2472	2.03**

γ₁	-0.5835	-3.15***
γ₂	1.3491	4.35***

V-Lab

Vera Konsept Gayrimenkul Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Vera Konsept Gayrimenkul Analyses