We consider an optimal investment and consumption problem for a Black–Scholes financial market with stochastic coefficients driven by a diffusion process. We assume that an agent makes consumption and investment decisions based on CRRA utility functions. The dynamic programming approach leads...

In this paper, we consider the Cauchy problem of semi-linear degenerate backward stochastic partial differential equations (BSPDEs) under general settings without technical assumptions on the coefficients. For the solution of semi-linear degenerate BSPDE, we first give a proof for its existence...

The solution of the Kolmogorov backward equation is expressed as a functional integral by means of the Feynman–Kac formula. The expectation value is approximated as a mean over trajectories. In order to reduce the variance of the estimate, importance sampling is utilized. From the optimal...

A coupled forward–backward stochastic differential system (FBSDS) is formulated in spaces of fields for the incompressible Navier–Stokes equation in the whole space. It is shown to have a unique local solution, and further if either the Reynolds number is small or the dimension of the...

This note deals with the asymptotic behavior of a weak solution of the multidimensional stochastic heat equation with a multiplicative fractional Brownian sheet. We study the solution given by the Feynman–Kac formula by the method of moments.

The objective of this paper is to study the large time asymptotic of the following exponential moment: Exexp{±∫0tV(X(s))ds}, where {X(s)} is a d-dimensional Ornstein–Uhlenbeck process and {V(x)}x∈Rd is a homogeneous ergodic random Poisson potential. It turns out that the positive/negative...

In this paper, we study comparison theorem, nonlinear Feynman–Kac formula and Girsanov transformation of the following BSDE driven by a G-Brownian motion: Yt=ξ+∫tTf(s,Ys,Zs)ds+∫tTg(s,Ys,Zs)d〈B〉s−∫tTZsdBs−(KT−Kt), where K is a decreasing G-martingale.

Let X(t) be the true self-repelling motion (TSRM) constructed by Tóth and Werner (1998) [22], L(t,x) its occupation time density (local time) and H(t):=L(t,X(t)) the height of the local time profile at the actual position of the motion. The joint distribution of (X(t),H(t)) was identified by...