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Backward nonlinear expectation equations

  • University of Trier
  • University of Kaiserslautern

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Building on an abstract framework for dynamic nonlinear expectations that comprises g-, G- and random G-expectations, we develop a theory of backward nonlinear expectation equations of the form Xt=Et[∫tTg(s,X)μ(ds)+ξ],t∈[0,T].We provide existence, uniqueness, and stability results and establish convergence of the associated discrete-time nonlinear aggregations. As an application, we construct continuous-time recursive utilities under ambiguity and identify the corresponding utility processes as limits of discrete-time recursive utilities.

Original languageEnglish
Pages (from-to)111-134
Number of pages24
JournalMathematics and Financial Economics
Volume12
Issue number1
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes

Keywords

  • Backward stochastic differential equation
  • Nonlinear expectation
  • Random G-expectation
  • Recursive utility
  • Volatility uncertainty

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