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	2.0224	3.08***
αARCH	0.1921	1.10
βGARCH	0.7899	13.00***
γleverage	0.0360	0.30

Parameter	Value	t-statistic
ω const Unconditional variance weight	2.0224	3.08***
α ARCH Response to squared shocks	0.1921	1.10
β GARCH Volatility persistence	0.7899	13.00***
γ leverage Additional response to negative shocks	0.0360	0.30

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Pt Satyamitra Mitra Kemas Le Asymmetric ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Pt Satyamitra Mitra Kemas Le Analyses