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	81
αARCH	0.2088	5.50***
βGARCH	0.7877	21.86***
γleverage	-0.2088	-5.45***
λ₁tau intercept	0.0963	0.84
λ₂forecast adj.	0.0055	1.91*
λ₃tau persistence	0.9912	171.72***

Parameter	Value	t-statistic
m window Rolling window length	81
α ARCH Response to squared shocks	0.2088	5.50***
β GARCH Volatility persistence	0.7877	21.86***
γ leverage Additional response to negative shocks	-0.2088	-5.45***
λ₁ tau intercept Baseline long-term coefficient	0.0963	0.84
λ₂ forecast adj. Forecast performance sensitivity	0.0055	1.91*
λ₃ tau persistence Long-term factor persistence	0.9912	171.72***

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KOSPI 200 Volatility Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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