Skip to main content
V-Lab
V-Lab

Hungarian Forint MF2-GARCH Volatility Analysis

Volatility prediction for Friday, October 30th, 2026

1 Day

8.26%

decreased by 0.11%

1 Week

8.28%

decreased by 0.09%

1 Month

8.36%

decreased by 0.01%

Analysis last updated: Thursday, October 29, 2026 at 07:09 PM UTC

Press Delete or Backspace to remove this series.
Date Range:

from

10/29/2024

to

10/29/2026

6M ·

1Y ·

2Y ·

5Y ·

10Y ·

All

graph of Hungarian Forint MF2-GARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Jun 15, 1993 to Oct 23, 2026

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

Inverse leverage: volatility responds almost entirely to positive returns
ParamValuet-stat
mwindow71
αARCH0.0413
4.99***
βGARCH0.8972
43.01***
γleverage-0.0341
-3.44***
λ₁tau intercept0.0571
4.11***
λ₂forecast adj.0.8620
10.82***
λ₃tau persistence0.0000
0.00

0.921

Persistence

8d

Half-life
σ

MF2-GARCH Model

Tap to view equation

ParameterValuet-statistic
m

window

Rolling window length

71
α

ARCH

Response to squared shocks

0.0413
4.99***
β

GARCH

Volatility persistence

0.8972
43.01***
γ

leverage

Additional response to negative shocks

-0.0341
-3.44***
λ₁

tau intercept

Baseline long-term coefficient

0.0571
4.11***
λ₂

forecast adj.

Forecast performance sensitivity

0.8620
10.82***
λ₃

tau persistence

Long-term factor persistence

0.0000
0.00

Persistence:

0.921

Half-life:

8 days