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	21
αARCH	0.2226	12.62***
βGARCH	0.6695	24.70***
γleverage	-0.1470	-6.90***
λ₁tau intercept	8.3085	1.33
λ₂forecast adj.	0.2052	3.87***
λ₃tau persistence	0.7948	15.46***

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.2226	12.62***
β GARCH Volatility persistence	0.6695	24.70***
γ leverage Additional response to negative shocks	-0.1470	-6.90***
λ₁ tau intercept Baseline long-term coefficient	8.3085	1.33
λ₂ forecast adj. Forecast performance sensitivity	0.2052	3.87***
λ₃ tau persistence Long-term factor persistence	0.7948	15.46***

V-Lab

Japan Reliance Service Corp ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Japan Reliance Service Corp Analyses