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	0.9559	4.40***
βGARCH	0.2574	10.88***
γleverage	-0.5000	-1.26
λ₁tau intercept	10.0000	3.91***
λ₂forecast adj.	0.2017	6.93***
λ₃tau persistence	0.0000	5.00***

Parameter	Value	t-statistic
m window Rolling window length	91
α ARCH Response to squared shocks	0.9559	4.40***
β GARCH Volatility persistence	0.2574	10.88***
γ leverage Additional response to negative shocks	-0.5000	-1.26
λ₁ tau intercept Baseline long-term coefficient	10.0000	3.91***
λ₂ forecast adj. Forecast performance sensitivity	0.2017	6.93***
λ₃ tau persistence Long-term factor persistence	0.0000	5.00***

V-Lab

Stellant Securities (India) ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Stellant Securities (India) Analyses