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	0.4654	0.60
αARCH	0.0000	0.00
βGARCH	0.9109	17.26***
γleverage	0.0995	0.81

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.4654	0.60
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.9109	17.26***
γ leverage Additional response to negative shocks	0.0995	0.81

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Carraro India Limited GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Carraro India Limited Analyses