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YieldMax TSLA Performance & Distribution Target 25 ETF MF2-GARCH Volatility Analysis

High-persistence model: shocks decay very slowly, so the theoretical long-run value may not be practically meaningful

Volatility prediction for Wednesday, September 30th, 2026

1 Day

29.57%

decreased by 26.89%

1 Week

20,869,884.10%

increased by 20,869,827.64%

1 Month

63,116,273,654,264,480,000,000,000,000,000.00%

increased by 63,116,273,654,264,480,000,000,000,000,000.00%

Analysis last updated: Tuesday, September 29, 2026 at 09:23 PM UTC

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graph of YieldMax TSLA Performance & Distribution Target 25 ETF MF2-GARCH

News Impact Curve

How returns affect tomorrow's volatility

Volatility Forecast

How volatility evolves over time

Parameter Estimates

Nov 18, 2025 to Sep 25, 2026

Model Insight

With persistence 1.000, volatility shocks have a half-life of 346573 trading days (~1375.3 years), close to a unit root, so long-run forecasts are highly sensitive to this estimate.

Leverage: Negative returns increase volatility 67% more than positive returns

σ

MF2-GARCH Model

Tap to view equation

High persistence: persistence 1.000, shock half-life ~346573 daysLeverage: Negative returns increase volatility 67% more than positive returns
ParamValuet-stat
mwindow66
αARCH0.7500
βGARCH0.0000
0.21
γleverage0.5000
4,761.90***
λ₁tau intercept0.0000
0.00
λ₂forecast adj.0.0677
3.99***
λ₃tau persistence0.9323
6.40***

1.000

Persistence

346573d

Half-life
σ

MF2-GARCH Model

Tap to view equation

ParameterValuet-statistic
m

window

Rolling window length

66
α

ARCH

Response to squared shocks

0.7500
β

GARCH

Volatility persistence

0.0000
0.21
γ

leverage

Additional response to negative shocks

0.5000
4,761.90***
λ₁

tau intercept

Baseline long-term coefficient

0.0000
0.00
λ₂

forecast adj.

Forecast performance sensitivity

0.0677
3.99***
λ₃

tau persistence

Long-term factor persistence

0.9323
6.40***

Persistence:

1.000

Half-life:

346573 days