CBOE Emerging Market Markets Volatility Index

S&P/BMV IPC VIX

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	76
αARCH	0.1887	2.77***
βGARCH	0.4724	7.08***
γleverage	0.4847	3.11***
λ₁tau intercept	10.0000	0.88
λ₂forecast adj.	0.0000	0.00
λ₃tau persistence	0.7986	4.30***

Parameter	Value	t-statistic
m window Rolling window length	76
α ARCH Response to squared shocks	0.1887	2.77***
β GARCH Volatility persistence	0.4724	7.08***
γ leverage Additional response to negative shocks	0.4847	3.11***
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.88
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.00
λ₃ tau persistence Long-term factor persistence	0.7986	4.30***

V-Lab

S&P/BMV IPC VIX MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other S&P/BMV IPC VIX Analyses