• Medientyp: E-Artikel
  • Titel: Robust utility maximization with nonlinear continuous semimartingales
  • Beteiligte: Criens, David; Niemann, Lars
  • Erschienen: Springer Science and Business Media LLC, 2023
  • Erschienen in: Mathematics and Financial Economics, 17 (2023) 3, Seite 499-536
  • Sprache: Englisch
  • DOI: 10.1007/s11579-023-00342-y
  • ISSN: 1862-9679; 1862-9660
  • Schlagwörter: Statistics, Probability and Uncertainty ; Finance ; Statistics and Probability
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  • Beschreibung: AbstractIn this paper we study a robust utility maximization problem in continuous time under model uncertainty. The model uncertainty is governed by a continuous semimartingale with uncertain local characteristics. Here, the differential characteristics are prescribed by a set-valued function that depends on time and path. We show that the robust utility maximization problem is in duality with a conjugate problem, and we study the existence of optimal portfolios for logarithmic, exponential and power utilities.