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	29.7349	2.92***
αARCH	0.1375	5.22***
βGARCH	0.9114	27.62***
νDF	4.7892	1.82*

Parameter	Value	t-statistic
ω const Unconditional variance weight	29.7349	2.92***
α ARCH Response to squared shocks	0.1375	5.22***
β GARCH Volatility persistence	0.9114	27.62***
ν DF Student-t tail thickness	4.7892	1.82*

V-Lab

KOSPI 200 Volatility Index GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other KOSPI 200 Volatility Index Analyses