We derive two types of saddlepoint approximations for expectations in the form of E[(X - K)+], where X is the sum of n independent random variables and K is a known constant. We establish error convergence rates for both types of approximations in the independently and identically distributed case. The approximations are further extended to cover the case of lattice variables. An application of the saddlepoint approximations to CDO pricing is presented. © 2011 Society for Industrial and Applied Mathematic
The full saddlepoint approximation for real valued smooth functions of means requires the existence ...
We investigate mathematical tools, Edgeworth series expansion and the saddle point method, which are...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...
We derive two types of saddlepoint approximations for expectations in the form of E[(X - K)+], where...
International audienceIn this paper, a real-valued function that approximates the cumulative distrib...
In this paper, we introduce a saddlepoint approximation method for higher-order moments like E(S - a...
The saddlepoint method provides accurate approximations for the distributions of many test statistic...
This book summarizes recent advances in applying saddlepoint approximation methods to financial engi...
We extend known saddlepoint tail probability approximations to multivariate cases, including multiva...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
This paper proposes saddlepoint expansions as a means to generate closed-form approximations to the ...
Anggaran adalah sangat penting kerana kadangkala adalah tidak mungkin untuk mendapatkan perwakilan ...
We discuss some recent (nonparametric) approximations of tail probabilities of marginal distribution...
This paper derives the saddlepoint approximation for a linear combination of the convolution , wher...
In this thesis we present two approximations to the distribution function of the sum of n independen...
The full saddlepoint approximation for real valued smooth functions of means requires the existence ...
We investigate mathematical tools, Edgeworth series expansion and the saddle point method, which are...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...
We derive two types of saddlepoint approximations for expectations in the form of E[(X - K)+], where...
International audienceIn this paper, a real-valued function that approximates the cumulative distrib...
In this paper, we introduce a saddlepoint approximation method for higher-order moments like E(S - a...
The saddlepoint method provides accurate approximations for the distributions of many test statistic...
This book summarizes recent advances in applying saddlepoint approximation methods to financial engi...
We extend known saddlepoint tail probability approximations to multivariate cases, including multiva...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
This paper proposes saddlepoint expansions as a means to generate closed-form approximations to the ...
Anggaran adalah sangat penting kerana kadangkala adalah tidak mungkin untuk mendapatkan perwakilan ...
We discuss some recent (nonparametric) approximations of tail probabilities of marginal distribution...
This paper derives the saddlepoint approximation for a linear combination of the convolution , wher...
In this thesis we present two approximations to the distribution function of the sum of n independen...
The full saddlepoint approximation for real valued smooth functions of means requires the existence ...
We investigate mathematical tools, Edgeworth series expansion and the saddle point method, which are...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...