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	26
αARCH	0.0165	2.16**
βGARCH	0.8421	59.13***
γleverage	0.1546	9.03***
λ₁tau intercept	0.0035	2.04**
λ₂forecast adj.	0.0243	4.56***
λ₃tau persistence	0.9738	170.27***

Parameter	Value	t-statistic
m window Rolling window length	26
α ARCH Response to squared shocks	0.0165	2.16**
β GARCH Volatility persistence	0.8421	59.13***
γ leverage Additional response to negative shocks	0.1546	9.03***
λ₁ tau intercept Baseline long-term coefficient	0.0035	2.04**
λ₂ forecast adj. Forecast performance sensitivity	0.0243	4.56***
λ₃ tau persistence Long-term factor persistence	0.9738	170.27***

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Date Range:

News Impact Curve

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Parameter Estimates

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