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	5.0000	1.99**
αARCH	0.4413	1.58
βGARCH	0.2779	1.08

Parameter	Value	t-statistic
ω const Unconditional variance weight	5.0000	1.99**
α ARCH Response to squared shocks	0.4413	1.58
β GARCH Volatility persistence	0.2779	1.08

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Bai-Kakaji Polymers Ltd GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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