KOSPI 200 Volatility Index

CBOE Emerging Market Markets Volatility Index

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	31
αARCH	0.2118	3.90***
βGARCH	0.6294	13.43***
γleverage	0.0606	0.94
λ₁tau intercept	0.0787	1.30
λ₂forecast adj.	0.0221	1.83*
λ₃tau persistence	0.9728	63.11***

Parameter	Value	t-statistic
m window Rolling window length	31
α ARCH Response to squared shocks	0.2118	3.90***
β GARCH Volatility persistence	0.6294	13.43***
γ leverage Additional response to negative shocks	0.0606	0.94
λ₁ tau intercept Baseline long-term coefficient	0.0787	1.30
λ₂ forecast adj. Forecast performance sensitivity	0.0221	1.83*
λ₃ tau persistence Long-term factor persistence	0.9728	63.11***

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Bg T&A Co MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Bg T&A Co Analyses