A Geometric Witness Framework for Signed Multivariate Tail-Dependence Compatibility: Asymptotic Structure and Finite-Threshold Synthesis
Janusz Milek

TL;DR
This paper introduces a geometric witness framework for analyzing multivariate tail dependence, providing explicit methods for realization, synthesis, and calibration of tail dependence structures across different thresholds.
Contribution
It develops a comprehensive geometric witness approach for signed tail families, enabling explicit inversion, synthesis, and handling of noisy or partial data in tail dependence modeling.
Findings
Explicit triangular inversion for generator weights w
Characterization of finite-threshold compatibility via nonnegative weights
Complete realization of signed tail families across thresholds
Abstract
We study multivariate tail-dependence compatibility for complete and partial signed tail families, treating lower-tail, upper-tail, and mixed configurations in one geometric witness representation indexed by active coordinate sets and sign patterns. For a complete signed tail family, witness generator weights w = (w_{I,sigma}) give a linear incidence parametrization and are recovered by explicit triangular inversion. Excluding the geometric scale p0, the complete case uses 3^d - 1 generator weights, matching the number of complete signed tail coefficients; for partial specifications, only selected target coefficients need be prescribed. At a fixed threshold p0 in (0, 1/2), the inversion identifies the normalized noncentral ternary cell masses of any realizing copula. Hence finite-threshold compatibility is characterized by nonnegative recovered generator weights, singleton…
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