Results 41 to 50 of about 2,569,963 (324)

Nonparametric Estimation of the Tail-Dependence Coefficient

open access: yesRevstat Statistical Journal, 2013
A common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal ...
Marta Ferreira
doaj   +1 more source

Methods of Tail Dependence Estimation [PDF]

open access: yes, 2012
Characterization and quantification of climate extremes and their dependencies are fundamental to the studying of natural hazards. This chapter reviews various parametric and nonparametric tail dependence coefficient estimators.
Aghakouchak, Amir   +2 more
core   +2 more sources

Tail asymptotics for dependent subexponential differences [PDF]

open access: yesSiberian Mathematical Journal, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Albrecher, H   +2 more
openaire   +4 more sources

TAIL DEPENDENCE OF COMMODITY FUTURES RETURNS IN THE AGRICULTURAL AND ENERGY SECTORS [PDF]

open access: yesAnnals of the Polish Association of Agricultural and Agribusiness Economists
The goal of this research was to examine tail dependence structures between selected commodity futures returns. Tail dependence, called also extremal dependence, was evaluated for the pairs of commodities coming from the same sector (energy or ...
Agnieszka Lach
doaj   +1 more source

The stopped clock model

open access: yesDependence Modeling, 2022
The extreme value theory presents specific tools for modeling and predicting extreme phenomena. In particular, risk assessment is often analyzed through measures for tail dependence and high values clustering.
Ferreira Helena, Ferreira Marta
doaj   +1 more source

Dependence between Chinese stock market and Vietnamese stock market during the Covid-19 pandemic

open access: yesHeliyon, 2022
The study aims to investigate the tail dependence between Chinese stock market and Vietnamese stock market in the context of the Covid-19 pandemic.
Van Chien Nguyen, Thu Thuy Nguyen
doaj   +1 more source

On Construction of Bernstein-Bézier Type Bivariate Archimedean Copula

open access: yesRevstat Statistical Journal, 2022
In this paper, a new class of bivariate multi-parameter Archimedean copula based on Kendall distribution using Bernstein-Bézier polynomials is introduced. The new class copula has flexible dependence properties depending on the polynomial degree and the
Selim Orhun Susam , Burcu Hudaverdi
doaj   +1 more source

Asymmetric tail dependence modeling, with application to cryptocurrency market data [PDF]

open access: yesAnnals of Applied Statistics, 2019
Since the inception of Bitcoin in 2008, cryptocurrencies have played an increasing role in the world of e-commerce, but the recent turbulence in the cryptocurrency market in 2018 has raised some concerns about their stability and associated risks.
Yan Gong, Raphael Huser
semanticscholar   +1 more source

The Risk of Individual Stocks’ Tail Dependence with the Market and Its Effect on Stock Returns

open access: yesDiscrete Dynamics in Nature and Society, 2015
Traditional beta is only a linear measure of overall market risk and places equal emphasis on upside and downside risks, but actually the latter is always much stronger probably due to the trading mechanism like short-sale constraints.
Guobin Fan   +3 more
doaj   +1 more source

A method of moments estimator of tail dependence [PDF]

open access: yes, 2007
In the world of multivariate extremes, estimation of the dependence structure still presents a challenge and an interesting problem. A procedure for the bivariate case is presented that opens the road to a similar way of handling the problem in a truly ...
Andrea Krajina   +5 more
core   +7 more sources

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