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	1.2472	5.92***
αARCH	0.1328	8.74***
βGARCH	0.8421	49.36***

γ₁	0.1077	1.48
γ₂	-0.4449	-3.76***
γ₃	0.8891	7.08***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.2472	5.92***
α ARCH Response to squared shocks	0.1328	8.74***
β GARCH Volatility persistence	0.8421	49.36***

γ₁	0.1077	1.48
γ₂	-0.4449	-3.76***
γ₃	0.8891	7.08***

V-Lab

Sime Darby Propert Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Sime Darby Propert Analyses