Stability results for martingale representations: The general case
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- by Antonis Papapantoleon, Dylan Possamaï and Alexandros Saplaouras PDF
- Trans. Amer. Math. Soc. 372 (2019), 5891-5946 Request permission
Abstract:
In this paper, we obtain stability results for martingale representations in a very general framework. More specifically, we consider a sequence of martingales, each adapted to its own filtration, and a sequence of random variables measurable with respect to those filtrations. We assume that the terminal values of the martingales and the associated filtrations converge in the extended sense, and that the limiting martingale is quasi left continuous and admits the predictable representation property. Then we prove that each component in the martingale representation of the sequence converges to the corresponding component of the martingale representation of the limiting random variable relative to the limiting filtration, under the Skorokhod topology. This extends in several directions earlier contributions in the literature and has applications to stability results for backward stochastic differential equations with jumps, and to discretization schemes for stochastic systems.References
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Additional Information
- Antonis Papapantoleon
- Affiliation: Department of Mathematics, National Technical University of Athens, Zografou Campus, 15780 Athens, Greece
- MR Author ID: 749026
- Email: papapan@math.ntua.gr
- Dylan Possamaï
- Affiliation: Department of Industrial Engineering and Operations Research, Columbia University, 500 West 120th Street, New York, New York 10027
- Email: dp2917@columbia.edu
- Alexandros Saplaouras
- Affiliation: Department of Mathematics, University of Michigan, East Hall, 530 Church Street, Ann Arbor, Michigan 48109-1043
- MR Author ID: 1303631
- Email: asaplaou@umich.edu
- Received by editor(s): July 23, 2018
- Received by editor(s) in revised form: March 20, 2019
- Published electronically: July 30, 2019
- Additional Notes: The second author gratefully acknowledges the financial support from the ANR project PACMAN (ANR-16-CE05-0027).
The third author gratefully acknowledges the financial support from the DFG Research Training Group 1845 “Stochastic Analysis with Applications in Biology, Finance and Physics”.
The authors gratefully acknowledge the financial support from the PROCOPE project “Financial markets in transition: Mathematical models and challenges”. - © Copyright 2019 American Mathematical Society
- Journal: Trans. Amer. Math. Soc. 372 (2019), 5891-5946
- MSC (2010): Primary 60G05, 60G07, 60G44; Secondary 60H05
- DOI: https://doi.org/10.1090/tran/7880
- MathSciNet review: 4014298