Density Analysis for coupled forward-backward SDEs with non-Lipschitz drifts and Applications
Rhoss Likibi Pellat, Olivier Menoukeu Pamen

TL;DR
This paper establishes the existence of densities for solutions to coupled quadratic forward-backward SDEs with non-Lipschitz drifts, extending density analysis and applications to regime switching models and derivative pricing.
Contribution
It introduces a novel framework combining weak decoupling fields, local time integration, and Kolmogorov equations to analyze densities beyond existing methods.
Findings
Proves existence of densities for solutions with non-Lipschitz drifts.
Extends density and differentiability results to regime switching interest rate models.
Provides a representation of hedging strategies via weak derivatives of pricing functions.
Abstract
We explore the existence of a continuous marginal law with respect to the Lebesgue measure for each component of the solution to coupled quadratic forward-backward stochastic differential equations (QFBSDEs) {for which the drift coefficient of the forward component is either bounded and measurable or H\"older continuous. Our approach relies on a combination of the existence of a weak {\it decoupling field} (see \cite{Delarue2}), the integration with respect to space time local time (see \cite{Ein2006}), the analysis of the backward Kolmogorov equation associated to the forward component along with an It\^o-Tanaka trick (see \cite{FlanGubiPrio10})}. The framework of this paper is beyond all existing papers on density analysis for Markovian BSDEs and constitutes a major refinement of the existing results. We also derive a comonotonicity theorem for the control variable in this…
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Taxonomy
TopicsAdvanced Bandit Algorithms Research · Auction Theory and Applications · Electric Power System Optimization
