CBOE Volatility Index

CBOE NASDAQ-100 Volatility Index

CBOE DJIA Volatility Index

CBOE Russell 2000 Volatility Index

CBOE S&P 500 9-Day Volatility Index

CBOE 3-Month Volatility Index

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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	66
αARCH	0.0300	3.27***
βGARCH	0.7939	33.27***
γleverage	0.1118	6.46***
λ₁tau intercept	0.0262	1.55
λ₂forecast adj.	0.0887	2.03**
λ₃tau persistence	0.8955	17.39***

Parameter	Value	t-statistic
m window Rolling window length	66
α ARCH Response to squared shocks	0.0300	3.27***
β GARCH Volatility persistence	0.7939	33.27***
γ leverage Additional response to negative shocks	0.1118	6.46***
λ₁ tau intercept Baseline long-term coefficient	0.0262	1.55
λ₂ forecast adj. Forecast performance sensitivity	0.0887	2.03**
λ₃ tau persistence Long-term factor persistence	0.8955	17.39***

V-Lab

Procter & Gamble Co/The MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Procter & Gamble Co/The Analyses