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	0.0000	0.00
αARCH	0.2234	7.43***
βGARCH	0.9990	254.20***
νDF	7.9173	1.57

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0000	0.00
α ARCH Response to squared shocks	0.2234	7.43***
β GARCH Volatility persistence	0.9990	254.20***
ν DF Student-t tail thickness	7.9173	1.57

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Pusan Cast Iron Co Ltd GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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