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	21
αARCH	0.1644	5.59***
βGARCH	0.6945	18.19***
γleverage	0.0072	0.18
λ₁tau intercept	0.0197	1.59
λ₂forecast adj.	0.0336	3.25***
λ₃tau persistence	0.9644	88.77***

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.1644	5.59***
β GARCH Volatility persistence	0.6945	18.19***
γ leverage Additional response to negative shocks	0.0072	0.18
λ₁ tau intercept Baseline long-term coefficient	0.0197	1.59
λ₂ forecast adj. Forecast performance sensitivity	0.0336	3.25***
λ₃ tau persistence Long-term factor persistence	0.9644	88.77***

V-Lab

Yw Co Ltd MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Yw Co Ltd Analyses