Duality theory for robust utility maximisation

dc.contributor.authorBartl, Daniel
dc.contributor.authorKupper, Michael
dc.contributor.authorNeufeld, Ariel
dc.date.accessioned2021-07-07T09:46:43Z
dc.date.available2021-07-07T09:46:43Z
dc.date.issued2021eng
dc.description.abstractIn this paper, we present a duality theory for the robust utility maximisation problem in continuous time for utility functions defined on the positive real line. Our results are inspired by – and can be seen as the robust analogues of – the seminal work of Kramkov and Schachermayer (Ann. Appl. Probab. 9:904–950, 1999). Namely, we show that if the set of attainable trading outcomes and the set of pricing measures satisfy a bipolar relation, then the utility maximisation problem is in duality with a conjugate problem. We further discuss the existence of optimal trading strategies. In particular, our general results include the case of logarithmic and power utility, and they apply to drift and volatility uncertainty.eng
dc.description.versionpublishedde
dc.identifier.doi10.1007/s00780-021-00455-6eng
dc.identifier.ppn1968843019
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/54230
dc.language.isoengeng
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dc.titleDuality theory for robust utility maximisationeng
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@article{Bartl2021Duali-54230,
  title={Duality theory for robust utility maximisation},
  year={2021},
  doi={10.1007/s00780-021-00455-6},
  number={3},
  volume={25},
  issn={0949-2984},
  journal={Finance and Stochastics},
  pages={469--503},
  author={Bartl, Daniel and Kupper, Michael and Neufeld, Ariel}
}
kops.citation.iso690BARTL, Daniel, Michael KUPPER, Ariel NEUFELD, 2021. Duality theory for robust utility maximisation. In: Finance and Stochastics. Springer. 2021, 25(3), S. 469-503. ISSN 0949-2984. eISSN 1432-1122. Verfügbar unter: doi: 10.1007/s00780-021-00455-6deu
kops.citation.iso690BARTL, Daniel, Michael KUPPER, Ariel NEUFELD, 2021. Duality theory for robust utility maximisation. In: Finance and Stochastics. Springer. 2021, 25(3), pp. 469-503. ISSN 0949-2984. eISSN 1432-1122. Available under: doi: 10.1007/s00780-021-00455-6eng
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kops.sourcefieldFinance and Stochastics. Springer. 2021, <b>25</b>(3), S. 469-503. ISSN 0949-2984. eISSN 1432-1122. Verfügbar unter: doi: 10.1007/s00780-021-00455-6deu
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source.periodicalTitleFinance and Stochasticseng
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