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	126
αARCH	0.0798	15.16***
βGARCH	0.9086	152.50***
γleverage	-0.0436	-1.65*
λ₁tau intercept	0.0532	2.68***
λ₂forecast adj.	0.0172	2.42**
λ₃tau persistence	0.9803	127.73***

Parameter	Value	t-statistic
m window Rolling window length	126
α ARCH Response to squared shocks	0.0798	15.16***
β GARCH Volatility persistence	0.9086	152.50***
γ leverage Additional response to negative shocks	-0.0436	-1.65*
λ₁ tau intercept Baseline long-term coefficient	0.0532	2.68***
λ₂ forecast adj. Forecast performance sensitivity	0.0172	2.42**
λ₃ tau persistence Long-term factor persistence	0.9803	127.73***

V-Lab

Crown Castle Inc ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Crown Castle Inc Analyses