Bipolar Theorems for Sets of Non-negative Random Variables

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Langner, Johannes, Svindland, Gregor
Format: Preprint
Published: 2022
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917512250130432
author Langner, Johannes
Svindland, Gregor
author_facet Langner, Johannes
Svindland, Gregor
contents This paper assumes a robust, in general not dominated, probabilistic framework and provides necessary and sufficient conditions for a bipolar representation of subsets of the set of all quasi-sure equivalence classes of non-negative random variables, without any further conditions on the underlying measure space. This generalizes and unifies existing bipolar theorems proved under stronger assumptions on the robust framework. Applications are in areas of robust financial modeling.
format Preprint
id arxiv_https___arxiv_org_abs_2212_14259
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Bipolar Theorems for Sets of Non-negative Random Variables
Langner, Johannes
Svindland, Gregor
Probability
Functional Analysis
Mathematical Finance
46A20, 46E30, 46N10, 46N30, 60B11, 91G80
This paper assumes a robust, in general not dominated, probabilistic framework and provides necessary and sufficient conditions for a bipolar representation of subsets of the set of all quasi-sure equivalence classes of non-negative random variables, without any further conditions on the underlying measure space. This generalizes and unifies existing bipolar theorems proved under stronger assumptions on the robust framework. Applications are in areas of robust financial modeling.
title Bipolar Theorems for Sets of Non-negative Random Variables
topic Probability
Functional Analysis
Mathematical Finance
46A20, 46E30, 46N10, 46N30, 60B11, 91G80
url https://arxiv.org/abs/2212.14259