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S&P Asia 50 CME GJR-GARCH Volatility Analysis

Volatility prediction for Friday, September 4th, 2026

1 Day

30.93%

decreased by 1.18%

1 Week

30.81%

decreased by 1.30%

1 Month

30.35%

decreased by 1.76%

Analysis last updated: Friday, September 4, 2026 at 11:27 PM UTC

Date Range:

from

to

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

All

graph of S&P Asia 50 CME GJR-GARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Jan 1, 1998 to Aug 27, 2026

Model Insight

With persistence 0.990, volatility shocks have a half-life of 70 trading days (~0.3 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.

Leverage: Negative returns increase volatility 264% more than positive returns

σ

GJR-GARCH Model

Tap to view equation

High persistence: persistence 0.990, shock half-life ~70 daysLeverage: Negative returns increase volatility 264% more than positive returns
ParamValuet-stat
ωconst0.0226
4.99***
αARCH0.0293
3.39***
βGARCH0.9221
141.04***
γleverage0.0774
4.50***

0.990

Persistence

70d

Half-life
σ

GJR-GARCH Model

Tap to view equation

ParameterValuet-statistic
ω

const

Unconditional variance weight

0.0226
4.99***
α

ARCH

Response to squared shocks

0.0293
3.39***
β

GARCH

Volatility persistence

0.9221
141.04***
γ

leverage

Additional response to negative shocks

0.0774
4.50***

Persistence:

0.990

Half-life:

70 days