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  • 标题:A Doob-Meyer decomposition under model ambiguity: the case of compactness
  • 本地全文:下载
  • 作者:Erick Treviño-Aguilar
  • 期刊名称:Latin American Journal of Probability and Mathematical Statistics
  • 电子版ISSN:1980-0436
  • 出版年度:2021
  • 卷号:18
  • 期号:1
  • 页码:617
  • DOI:10.30757/ALEA.v18-24
  • 出版社:Instituto Nacional De Matemática Pura E Aplicada
  • 摘要:We consider families of equivalent probability measures Q with a property related to concepts known in the literature under different names such as rectangularity or multiplicative stability. For the problems considered in this paper such a property yields dynamical consistency. We prove under a weak-compactness assumption with general filtrations and continuous processes that all semimartingales have an additive decomposition as the sum of a predictable non-decreasing process and a universal local supermartingale, by this concept we mean a process that is a local supermartingale with respect to each element of Q. We also show that processes having a supermartingale property with respect to a superadditive nonlinear conditional expectation associated to the family Q are always semimartingales under weak-compactness. These results are relevant in stochastic optimization problems including optimal stopping under model ambiguity.
  • 其他关键词:Doob-Meyer Decomposition, Model ambiguity, Optimal stopping, Supermartingales, Semimartingales.
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