$\mathfrak{X}$PDE for $\mathfrak{X} \in \{\mathrm{BS},\mathrm{FBS}, \mathrm{P}\}$: a rough volatility context
Ofelia Bonesini, Antoine Jacquier

TL;DR
This paper establishes a precise connection between path-dependent PDEs and backward SPDEs in the context of rough volatility, clarifying the nature of a previously introduced random field as a pathwise derivative of the value function.
Contribution
It explicitly links path-dependent PDEs and backward SPDEs in rough volatility models, identifying the random field as a pathwise derivative of the value function.
Findings
Clarified the connection between path-dependent PDEs and backward SPDEs in rough volatility.
Identified the random field as a pathwise derivative of the value function.
Enhanced understanding of mathematical structures in rough volatility models.
Abstract
Recent mathematical advances in the context of rough volatility have highlighted interesting and intricate connections between path-dependent partial differential equations and backward stochastic partial differential equations. In this note, we make this link precise, identifying the slightly obscure random field introduced in [Pricing options under rough volatility with backward SPDEs, C. Bayer; J. Qiu and Y. Yao. SIFIN, 13(1), 179-212 (2022)] as a pathwise derivative of the value function.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
