Mean-field BSDEs with jumps and dual representation for global risk measures
作者机构:INRIA Paris2 rue Simone IffCS 4211275589 ParisCedex 12France UniversitéParis-Dauphine75775 ParisCedex 16France Department of MathematicsKing’s College LondonStrandLondon WC 2 R 2LSUK Department of Operations Research and Information EngineeringCornell University222 Rhodes HallIthacaNY 14853USA
出 版 物:《Probability, Uncertainty and Quantitative Risk》 (概率、不确定性与定量风险(英文))
年 卷 期:2023年第8卷第1期
页 面:33-52页
学科分类:02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 0714[理学-统计学(可授理学、经济学学位)]
主 题:Mean-field interactions BSDEs Dynamic risk measures System influence
摘 要:We study mean-field BSDEs with jumps and a generalized mean-field operator that can capture higher-order interactions.We interpret the BSDE solution as a dynamic risk measure for a representative bank whose risk attitude is influenced by the system.This influence can come in a wide class of choices,including the average system state or average intensity of system interactions.Using Fenchel−Legendre transforms,our main result is a dual representation for the expectation of the risk measure in the convex case.In particular,we exhibit its dependence on the mean-field operator.