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V-Lab

S&P Asia 50 CME MF2-GARCH Volatility Analysis

Volatility prediction for Friday, September 4th, 2026

1 Day

35.13%

decreased by 0.93%

1 Week

35.79%

decreased by 0.27%

1 Month

35.30%

decreased by 0.76%

Analysis last updated: Friday, September 4, 2026 at 11:28 PM UTC

Date Range:

from

to

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

All

graph of S&P Asia 50 CME MF2-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

This asset exhibits a strong leverage effect: volatility responds almost entirely to negative shocks. The ARCH response to positive shocks is negligible.

σ

MF2-GARCH Model

Tap to view equation

Leverage: volatility responds almost entirely to negative shocks
ParamValuet-stat
mwindow31
αARCH0.0000
0.00
βGARCH0.8348
47.65***
γleverage0.1340
8.92***
λ₁tau intercept0.0160
2.78***
λ₂forecast adj.0.0760
4.23***
λ₃tau persistence0.9163
48.28***

0.902

Persistence

7d

Half-life
σ

MF2-GARCH Model

Tap to view equation

ParameterValuet-statistic
m

window

Rolling window length

31
α

ARCH

Response to squared shocks

0.0000
0.00
β

GARCH

Volatility persistence

0.8348
47.65***
γ

leverage

Additional response to negative shocks

0.1340
8.92***
λ₁

tau intercept

Baseline long-term coefficient

0.0160
2.78***
λ₂

forecast adj.

Forecast performance sensitivity

0.0760
4.23***
λ₃

tau persistence

Long-term factor persistence

0.9163
48.28***

Persistence:

0.902

Half-life:

7 days