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Geometric BSDEs

Author

Listed:
  • Roger J. A. Laeven
  • Emanuela Rosazza Gianin
  • Marco Zullino
Abstract
We introduce and develop the concepts of Geometric Backward Stochastic Differential Equations (GBSDEs, for short) and two-driver BSDEs. We demonstrate their natural suitability for modeling continuous-time dynamic return risk measures. We characterize a broad spectrum of associated, auxiliary ordinary BSDEs with drivers exhibiting growth rates involving terms of the form $y|\ln(y)|+|z|^2/y$. We establish the existence, regularity, uniqueness, and stability of solutions to this rich class of ordinary BSDEs, considering both bounded and unbounded coefficients and terminal conditions. We exploit these results to obtain analogous results for the original two-driver BSDEs. Finally, we present a GBSDE framework for representing the dynamics of (robust) $L^{p}$-norms and related risk measures.

Suggested Citation

  • Roger J. A. Laeven & Emanuela Rosazza Gianin & Marco Zullino, 2024. "Geometric BSDEs," Papers 2405.09260, arXiv.org, revised Jul 2024.
    • Handle: RePEc:arx:papers:2405.09260
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    References listed on IDEAS

    as
    1. Bellini, Fabio & Laeven, Roger J.A. & Rosazza Gianin, Emanuela, 2021. "Dynamic robust Orlicz premia and Haezendonck–Goovaerts risk measures," European Journal of Operational Research, Elsevier, vol. 291(2), pages 438-446.
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    12. Roger J. A. Laeven & Mitja Stadje, 2014. "Robust Portfolio Choice and Indifference Valuation," Mathematics of Operations Research, INFORMS, vol. 39(4), pages 1109-1141, November.
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