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Copula (statistics)

In probability theory and statistics, a copula is a multivariate cumulative distribution function for which the marginal probability distribution of each variable is uniform on the interval . Copulas are used to describe / model the dependence (inter-correlation) between random variables. Their name, introduced by applied mathematician Abe Sklar in 1959…

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Overview

Mathematical motivation

Definition

Sklar's theorem

Stationarity condition

Fréchet–Hoeffding copula bounds

Families of copulas

Expectation for copula models and Monte Carlo integration

Applications

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Important terminology

copula copulas displaystyle dependence distribution used function functions marginal random marginals applications probability using multivariate gaussian also dots applied model

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SubjectPredicateObjectConfidenceSrc
cash or bondsinstance ofa large number of investors who have held positions in riskier assets such as equities or real estate may seek refuge in 'safer' investments0.80text
the Gaussianinstance ofThe model is able to reduce the effects of extreme downside correlations and produces improved statistical and economic performance compared to scalable elliptical dependence co…0.80text
Student-t copula.Other models developed for risk management applications are panic copulas that are glued with market estimates of the marginal distributions to analyze the effects of panic regimes on the portfolio profitinstance ofThe model is able to reduce the effects of extreme downside correlations and produces improved statistical and economic performance compared to scalable elliptical dependence co…0.80text
loss distributioninstance ofThe model is able to reduce the effects of extreme downside correlations and produces improved statistical and economic performance compared to scalable elliptical dependence co…0.80text

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    Copula (statistics)

    Nodes104
    Edges103
    Triples4
    Avg. degree1.98
    Density0.019231
    Components1
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