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
ωconst	4.1968	4.89***
αARCH	0.1858	6.69***
βGARCH	0.6856	15.89***

Parameter	Value	t-statistic
ω const Unconditional variance weight	4.1968	4.89***
α ARCH Response to squared shocks	0.1858	6.69***
β GARCH Volatility persistence	0.6856	15.89***

V-Lab

KOSPI 200 Volatility Index GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other KOSPI 200 Volatility Index Analyses