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
ωconst	11.4769	3.80***
αARCH	0.1457	6.22***
βGARCH	0.9170	35.60***
νDF	4.9333	2.80***

Parameter	Value	t-statistic
ω const Unconditional variance weight	11.4769	3.80***
α ARCH Response to squared shocks	0.1457	6.22***
β GARCH Volatility persistence	0.9170	35.60***
ν DF Student-t tail thickness	4.9333	2.80***

V-Lab

Mep Infrastructure Dev Ltd GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Mep Infrastructure Dev Ltd Analyses