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	66
αARCH	0.0351	1.41
βGARCH	0.6043	4.58***
γleverage	0.0670	1.97**
λ₁tau intercept	1.0884	1.32
λ₂forecast adj.	0.5332	1.34
λ₃tau persistence	0.2116	0.38

Parameter	Value	t-statistic
m window Rolling window length	66
α ARCH Response to squared shocks	0.0351	1.41
β GARCH Volatility persistence	0.6043	4.58***
γ leverage Additional response to negative shocks	0.0670	1.97**
λ₁ tau intercept Baseline long-term coefficient	1.0884	1.32
λ₂ forecast adj. Forecast performance sensitivity	0.5332	1.34
λ₃ tau persistence Long-term factor persistence	0.2116	0.38

V-Lab

Gujarat Energy Ltd MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Gujarat Energy Ltd Analyses