Title
Continuous-Time Dynamic Risk Measures By Backward Stochastic Volterra Integral Equations
Keywords
2000 Mathematics Subject Classifications; 60H20; 91B30; 91B70; Adapted M-solution; Backward stochastic Volterra integral equations; Dynamic risk measure
Abstract
Continuous-time dynamic convex and coherent risk measures are introduced. To obtain existence of such risk measures, backward stochastic Volterra integral equations (BSVIEs, for short) are studied. For such equations, notion of adapted M-solution is introduced, well-posedness is established, duality principles and comparison theorems are presented. Then a class of dynamic convex and coherent risk measures are identified as a component of the adapted M-solutions to certain BSVIEs. †Dedicated to Professor M.Z. Nashed. © 2007, Taylor & Francis Group, LLC.
Publication Date
1-1-2007
Publication Title
Applicable Analysis
Volume
86
Issue
11
Number of Pages
1429-1442
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/00036810701697328
Copyright Status
Unknown
Socpus ID
76149098944 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/76149098944
STARS Citation
Yong, Jiongmin, "Continuous-Time Dynamic Risk Measures By Backward Stochastic Volterra Integral Equations" (2007). Scopus Export 2000s. 7004.
https://stars.library.ucf.edu/scopus2000/7004