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	1.4138	5.20***
αARCH	0.0746	13.52***
βGARCH	0.9222	156.41***

γ₁	-0.0489	-4.53***
γ₂	0.0910	4.93***
γ₃	-0.0662	-3.88***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.4138	5.20***
α ARCH Response to squared shocks	0.0746	13.52***
β GARCH Volatility persistence	0.9222	156.41***

γ₁	-0.0489	-4.53***
γ₂	0.0910	4.93***
γ₃	-0.0662	-3.88***

V-Lab

Macerich Co/The Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Macerich Co/The Analyses