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Dynamic risk measures via backward doubly stochastic Volterra integral equations with jumps.

Authors :
Chen, Yanhong
Miao, Liangliang
Source :
Communications in Statistics: Theory & Methods. 2024, Vol. 53 Issue 14, p5092-5116. 25p.
Publication Year :
2024

Abstract

In this article, we study dynamic risk measures by means of backward doubly stochastic Volterra integral equations (BDSVIEs, for short) with jumps. We establish the well-posedness of BDSVIEs with jumps in the sense of M-solution and prove a comparison theorem of BDSVIEs with jumps. Finally, we study properties of dynamic risk measures induced by BDSVIEs with jumps. Our results extend the well-posedness and the comparison theorem of BDSVIEs without jumps to the setting with jumps, and extend dynamic risk measures induced by BSDEs, BDSDEs, and BSVIEs to the case of BDSVIEs with jumps. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610926
Volume :
53
Issue :
14
Database :
Academic Search Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
177655969
Full Text :
https://doi.org/10.1080/03610926.2023.2206503