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	41
αARCH	1.0000	11.97***
βGARCH	0.2450	29.75***
γleverage	-0.5000	-3.19***
λ₁tau intercept	0.0201	0.00
λ₂forecast adj.	0.2044	8.54***
λ₃tau persistence	0.7956	28.45***

Parameter	Value	t-statistic
m window Rolling window length	41
α ARCH Response to squared shocks	1.0000	11.97***
β GARCH Volatility persistence	0.2450	29.75***
γ leverage Additional response to negative shocks	-0.5000	-3.19***
λ₁ tau intercept Baseline long-term coefficient	0.0201	0.00
λ₂ forecast adj. Forecast performance sensitivity	0.2044	8.54***
λ₃ tau persistence Long-term factor persistence	0.7956	28.45***

V-Lab

Concord Acquisition Corp II ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Concord Acquisition Corp II Analyses