Forthcoming

Bounds on Negative Binomial Approximation to Call Function

Accepted: March 2022

Authors

Keywords:

negative binomial distribution, call function, error bounds, Stein's method, CDO

Abstract

In this paper, we develop Stein's method for negative binomial distribution using call function defined by fz(k) = (k - z)+ = max{k - z, 0}, for k ≥ 0 and z ≥ 0. We obtain error bounds between E [ fz(Nr,p)] and E [ fz(V )], where Nr,p follows negative binomial distribution and V is the sum of locally dependent random variables, using certain conditions on moments. We demonstrate our results through an interesting application, namely, collateralized debt obligation (CDO), and compare the bounds with the existing bounds.

Published

2022-03-05

How to Cite

N. Kumar , A. (2022). Bounds on Negative Binomial Approximation to Call Function: Accepted: March 2022. REVSTAT-Statistical Journal. Retrieved from https://revstat.ine.pt/index.php/REVSTAT/article/view/437

Issue

Section

Forthcoming Paper