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Nikkei Stock Average Volatility Index MF2-GARCH Volatility Analysis

Volatility prediction for Monday, October 19th, 2026

1 Day

190.56%

decreased by 27.21%

1 Week

177.82%

decreased by 39.95%

1 Month

159.38%

decreased by 58.39%

Analysis last updated: Friday, October 23, 2026 at 09:03 PM UTC

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Date Range:

from

10/16/2024

to

10/16/2026

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

All

graph of Nikkei Stock Average Volatility Index MF2-GARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Jan 3, 1990 to Oct 16, 2026

Model Insight

This asset shows a rare inverse leverage effect: positive returns raise next-day volatility 370% more than negative returns. Volatility rises more after gains than after losses, the reverse of the usual leverage effect and uncommon among risky assets.

σ

MF2-GARCH Model

Tap to view equation

Inverse leverage: Positive returns increase volatility 370% more than negative returns
ParamValuet-stat
mwindow21
αARCH0.2259
6.55***
βGARCH0.6651
17.48***
γleverage-0.1778
-4.23***
λ₁tau intercept0.1859
1.99**
λ₂forecast adj.0.0122
3.39***
λ₃tau persistence0.9827
181.94***

0.802

Persistence

3d

Half-life
σ

MF2-GARCH Model

Tap to view equation

ParameterValuet-statistic
m

window

Rolling window length

21
α

ARCH

Response to squared shocks

0.2259
6.55***
β

GARCH

Volatility persistence

0.6651
17.48***
γ

leverage

Additional response to negative shocks

-0.1778
-4.23***
λ₁

tau intercept

Baseline long-term coefficient

0.1859
1.99**
λ₂

forecast adj.

Forecast performance sensitivity

0.0122
3.39***
λ₃

tau persistence

Long-term factor persistence

0.9827
181.94***

Persistence:

0.802

Half-life:

3 days