1. A stochastic approach to path-dependent nonlinear Kolmogorov equations via BSDEs with time-delayed generators and applications to finance
- Author
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Adrian Zălinescu, Lucian Maticiuc, Luca Di Persio, and Francesco Cordoni
- Subjects
Statistics and Probability ,Generator (category theory) ,Applied Mathematics ,Probability (math.PR) ,Backward stochastic differential equations ,Feynman–Kac formula ,Type (model theory) ,Time-delayed generators ,Path-dependent partial differential equations ,Nonlinear system ,Stochastic differential equation ,Kolmogorov equations (Markov jump process) ,Modeling and Simulation ,Viscosity solutions ,FOS: Mathematics ,Viscosity solution ,Path-dependent partial differential equations , Viscosity solutions, Feynman–Kac formula , Backward stochastic differential equations, Time-delayed generators ,Mathematics - Probability ,Mathematics ,Path dependent ,Mathematical physics - Abstract
We prove the existence of a viscosity solution of the following path dependent nonlinear Kolmogorov equation: \[ \begin{cases} \partial_{t}u(t,\phi)+\mathcal{L}u(t,\phi)+f(t,\phi,u(t,\phi),\partial_{x}u(t,\phi) \sigma(t,\phi),(u(\cdot,\phi))_{t})=0,\;t\in[0,T),\;\phi\in\mathbb{\Lambda}\, ,u(T,\phi)=h(\phi),\;\phi\in\mathbb{\Lambda}, \end{cases} \] where $\mathbb{\Lambda}=\mathcal{C}([0,T];\mathbb{R}^{d})$, $(u(\cdot ,\phi))_{t}:=(u(t+\theta,\phi))_{\theta\in[-\delta,0]}$ and \[ \mathcal{L}u(t,\phi):=\langle b(t,\phi),\partial_{x}u(t,\phi)\rangle+\dfrac {1}{2}\mathrm{Tr}\big[\sigma(t,\phi)\sigma^{\ast}(t,\phi)\partial_{xx} ^{2}u(t,\phi)\big]. \] The result is obtained by a stochastic approach. In particular we prove a new type of nonlinear Feynman-Kac representation formula associated to a backward stochastic differential equation with time-delayed generator which is of non-Markovian type. Applications to the large investor problem and risk measures via $g$-expectations are also provided., Comment: 45 pages
- Published
- 2020
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