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V-Lab

CBOE China ETF Volatility Index APARCH Volatility Analysis

Inactive

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

1 Day

100.86%

1 Week

99.65%

1 Month

96.19%

Analysis last updated: Saturday, September 3, 2022 at 04:59 AM UTC

Date Range:

from

to

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

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graph of CBOE China ETF Volatility Index APARCH

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. The volatility power δ = 1.69 sits below 2, so large shocks influence volatility less than quadratically, a more outlier-robust response than standard GARCH.

σ

APARCH Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

1.0000
5.32***
α

ARCH

Response to squared shocks

0.0970
9.08***
β

GARCH

Volatility persistence

0.8458
85.74***
γ

leverage

Additional response to negative shocks

-0.4822
-5.79***
δ

power

Transformation power

1.6899
16.60***

Persistence:

0.945

Half-life:

12 days