A Bismut Elworthy formula for quadratic BSDEs
Federica Masiero

TL;DR
This paper extends the Bismut-Elworthy formula to quadratic BSDEs in a Markovian setting, enabling new analytical tools for nonlinear PDEs and stochastic control problems with quadratic growth.
Contribution
It introduces a Bismut-Elworthy formula for quadratic BSDEs, broadening the scope of stochastic analysis in non-degenerate Markovian frameworks.
Findings
Derived a Bismut-Elworthy formula for quadratic growth BSDEs.
Applied the formula to semilinear Kolmogorov equations with quadratic nonlinearity.
Provided insights into stochastic control problems with quadratic costs.
Abstract
We consider a backward stochastic differential equation in a Markovian framework for the pair of processes , with generator with quadratic growth with respect to . Under non-degeneracy assumptions, we prove an analogue of the well-known Bismut-Elworty formula when the generator has quadratic growth with respect to . Applications to the solution of a semilinear Kolmogorov equation for the unknown with nonlinear term with quadratic growth with respect to and final condition only bounded and continuous are given, as well as applications to stochastic optimal control problems with quadratic growth.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Insurance, Mortality, Demography, Risk Management
