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	41
αARCH	0.2978	4.49***
βGARCH	0.6354	12.74***
γleverage	-0.2978	-1.97**
λ₁tau intercept	0.0150	0.87
λ₂forecast adj.	0.8556	7.87***
λ₃tau persistence	0.1444	3.24***

Parameter	Value	t-statistic
m window Rolling window length	41
α ARCH Response to squared shocks	0.2978	4.49***
β GARCH Volatility persistence	0.6354	12.74***
γ leverage Additional response to negative shocks	-0.2978	-1.97**
λ₁ tau intercept Baseline long-term coefficient	0.0150	0.87
λ₂ forecast adj. Forecast performance sensitivity	0.8556	7.87***
λ₃ tau persistence Long-term factor persistence	0.1444	3.24***

V-Lab

Medco Energi Intl Tbk Pt ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Medco Energi Intl Tbk Pt Analyses