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V-Lab

CBOE China ETF Volatility Index MF2-GARCH Volatility Analysis

Inactive

Last recorded values (Monday, February 14th, 2022):

1 Day

106.54%

1 Week

101.59%

1 Month

92.36%

Analysis last updated: Saturday, September 3, 2022 at 05:01 AM UTC

Date Range:

from

to

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

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graph of CBOE China ETF Volatility Index MF2-GARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Mar 16, 2011 to Feb 11, 2022

Model Insight

This asset shows a rare inverse leverage effect: volatility responds almost entirely to positive returns, rising far more after gains than after losses. This is the reverse of the usual leverage effect, rare among risky assets.

σ

MF2-GARCH Model

Tap to view equation

ParameterValuet-statistic
m

window

Rolling window length

51
α

ARCH

Response to squared shocks

0.2225
25.31***
β

GARCH

Volatility persistence

0.6836
46.21***
γ

leverage

Additional response to negative shocks

-0.1862
-11.95***
λ₁

tau intercept

Baseline long-term coefficient

10.0000
1.17
λ₂

forecast adj.

Forecast performance sensitivity

0.6562
1.65*
λ₃

tau persistence

Long-term factor persistence

0.0000
0.00

Persistence:

0.813

Half-life:

3 days