About the exact simulation of bivariate (reciprocal) Archimax copulas

نویسندگان

چکیده

Abstract We provide an exact simulation algorithm for bivariate Archimax copulas, including instances with negative association. In contrast to existing approaches, the feasibility of our is directly linked availability probability measure described by derivative parameterizing Pickands dependence function. demonstrate that this hypothesis satisfied in many cases interest and, particular, it piece-wise constant functions, which can approximate general case a given level desired accuracy. Finally, be leveraged copulas associated max-infinitely divisible random vectors whose exponent has norm-symmetric survival function, so-called reciprocal copulas.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Approximation of bivariate copulas by patched bivariate Fréchet copulas

Bivariate Fréchet (BF) copulas characterize dependence as a mixture of three simple structures: comonotonicity, independence and countermonotonicity. They are easily interpretable but have limitations when used as approximations to general dependence structures. To improve the approximation property of the BF copulas and keep the advantage of easy interpretation, we develop a new copula approxi...

متن کامل

A class of multivariate copulas with bivariate Fréchet marginal copulas

In this paper, we present a class of multivariate copulas whose two-dimensional marginals belong to the family of bivariate Fréchet copulas. The coordinates of a random vector distributed as one of these copulas are conditionally independent.Weprove that thesemultivariate copulas are uniquely determined by their two-dimensional marginal copulas. Some other properties for thesemultivariate copul...

متن کامل

Bivariate option pricing with copulas

In this paper we suggest the adoption of copula functions in order to price bivariate contingent claims. Copulas enable us to imbed the marginal distributions extracted from vertical spreads in the options markets in a multivariate pricing kernel. We prove that such kernel is a copula function, and that its super-replication strategy is represented by the Fréchet bounds. As applications, we pro...

متن کامل

On Trivariate Copulas with Bivariate Linear Spearman Marginal Copulas

Based on the trivariate reduction technique two different trivariate Bernoulli mixtures of univariate uniform distributions and their associated trivariate copulas with bivariate linear Spearman marginal copulas are considered. Mathematical characterizations of these Bernoulli mixture models are obtained. Since Bernoulli mixture trivariate reduction copulas are not compatible with all valid gra...

متن کامل

A new extension of bivariate FGM copulas

We propose a new family of copulas generalizing the Farlie-Gumbel-Morgenstern family and generated by two univariate functions. The main feature of this family is to permit the modeling of high positive dependence. In particular, it is established that the range of the Spearman’s Rho is [−3/4, 1] and that the upper tail dependence coefficient can reach any value in [0, 1]. Necessary and suffici...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Dependence Modeling

سال: 2022

ISSN: ['2300-2298']

DOI: https://doi.org/10.1515/demo-2022-0102