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
mwindow	91
αARCH	0.1489	5.10***
βGARCH	0.8281	29.26***
γleverage	-0.0487	-0.62
λ₁tau intercept	10.0000	0.01
λ₂forecast adj.	0.1441	2.10**
λ₃tau persistence	0.8559	13.31***

Parameter	Value	t-statistic
m window Rolling window length	91
α ARCH Response to squared shocks	0.1489	5.10***
β GARCH Volatility persistence	0.8281	29.26***
γ leverage Additional response to negative shocks	-0.0487	-0.62
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.01
λ₂ forecast adj. Forecast performance sensitivity	0.1441	2.10**
λ₃ tau persistence Long-term factor persistence	0.8559	13.31***

V-Lab

United Insur Co OF Pakistan ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other United Insur Co OF Pakistan Analyses