India NSE 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	0.1410	4.68***
βGARCH	0.5694	7.67***
γleverage	0.0397	0.93
λ₁tau intercept	0.1099	1.60
λ₂forecast adj.	0.0216	2.68***
λ₃tau persistence	0.9666	67.82***

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.1410	4.68***
β GARCH Volatility persistence	0.5694	7.67***
γ leverage Additional response to negative shocks	0.0397	0.93
λ₁ tau intercept Baseline long-term coefficient	0.1099	1.60
λ₂ forecast adj. Forecast performance sensitivity	0.0216	2.68***
λ₃ tau persistence Long-term factor persistence	0.9666	67.82***

V-Lab

Kei Industries Ltd MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Kei Industries Ltd Analyses