Bounds on Negative Binomial Approximation to Call Function
DOI:
https://doi.org/10.57805/revstat.v22i1.437Keywords:
negative binomial distribution, call function, error bounds, Stein's method, CDOAbstract
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 REVSTAT-Statistical Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.