CBOE 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	1.2275	4.83***
αARCH	0.1919	10.27***
βGARCH	0.7859	46.78***

γ₁	-0.3891	-2.10**
γ₂	0.6493	2.12**
γ₃	-0.4020	-1.42
γ₄	0.3184	1.16
γ₅	-0.6410	-2.27**
γ₆	1.1285	4.35***
γ₇	-0.9831	-5.73***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.2275	4.83***
α ARCH Response to squared shocks	0.1919	10.27***
β GARCH Volatility persistence	0.7859	46.78***

γ₁	-0.3891	-2.10**
γ₂	0.6493	2.12**
γ₃	-0.4020	-1.42
γ₄	0.3184	1.16
γ₅	-0.6410	-2.27**
γ₆	1.1285	4.35***
γ₇	-0.9831	-5.73***

V-Lab

Bangladesh Dhaka Stock Exchange Broad Index Zero Slope Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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