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
mwindow	61
αARCH	0.1376	5.58***
βGARCH	0.7925	49.85***
γleverage	0.0819	2.72***
λ₁tau intercept	0.0410	1.20
λ₂forecast adj.	0.5491	3.86***
λ₃tau persistence	0.4163	2.90***

Parameter	Value	t-statistic
m window Rolling window length	61
α ARCH Response to squared shocks	0.1376	5.58***
β GARCH Volatility persistence	0.7925	49.85***
γ leverage Additional response to negative shocks	0.0819	2.72***
λ₁ tau intercept Baseline long-term coefficient	0.0410	1.20
λ₂ forecast adj. Forecast performance sensitivity	0.5491	3.86***
λ₃ tau persistence Long-term factor persistence	0.4163	2.90***

V-Lab

Bangladesh Dhaka Stock Exchange Broad Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Bangladesh Dhaka Stock Exchange Broad Index Analyses