Conditional tail risk expectations for location-scale mixture of elliptical distributions
Baishuai Zuo, Chuancun Yin

TL;DR
This paper derives general formulas for tail conditional expectations in univariate and multivariate settings for location-scale mixtures of elliptical distributions, with applications to portfolio risk analysis.
Contribution
It provides new theoretical results on tail risk expectations for a broad class of mixture distributions, including normal, Student-t, Logistic, and Laplace mixtures.
Findings
Formulas for univariate and multivariate TCE for mixture distributions
Application to portfolio risk decomposition using TCE
Examples include normal, Student-t, Logistic, and Laplace mixtures
Abstract
We present general results on the univariate tail conditional expectation (TCE) and multivariate tail conditional expectation for location-scale mixture of elliptical distributions. Examples include the location-scale mixture of normal distributions, location-scale mixture of Student- distributions, location-scale mixture of Logistic distributions and location-scale mixture of Laplace distributions. We also consider portfolio risk decomposition with TCE for location-scale mixture of elliptical distributions.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Statistical Distribution Estimation and Applications · Risk and Portfolio Optimization
