How volatility evolves over time

How illiquidity evolves over time

{name} Model Equation

How returns affect tomorrow's volatility

How returns affect tomorrow's illiquidity

Spline Coefficients

Value at Risk (VaR) estimates the maximum loss at a given confidence level. Expected Shortfall (ES) estimates the average loss beyond VaR.

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Param	Value	t-stat
mwindow	91
αARCH	0.2398	9.79***
βGARCH	0.7237	27.21***
γleverage	-0.2398	-1.03
λ₁tau intercept	6.8611	0.40
λ₂forecast adj.	0.0769	0.99
λ₃tau persistence	0.9208	11.31***

Parameter	Value	t-statistic
m window Rolling window length	91
α ARCH Response to squared shocks	0.2398	9.79***
β GARCH Volatility persistence	0.7237	27.21***
γ leverage Additional response to negative shocks	-0.2398	-1.03
λ₁ tau intercept Baseline long-term coefficient	6.8611	0.40
λ₂ forecast adj. Forecast performance sensitivity	0.0769	0.99
λ₃ tau persistence Long-term factor persistence	0.9208	11.31***

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Ditas Bdy Yedek Parca Imalat ve Teknik AS ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Ditas Bdy Yedek Parca Imalat ve Teknik AS Analyses