{ "id": "1606.03836", "version": "v1", "published": "2016-06-13T07:05:33.000Z", "updated": "2016-06-13T07:05:33.000Z", "title": "Path-differentiability of BSDE driven by a continuous local martingale", "authors": [ "Kihun Nam" ], "comment": "29 pages", "categories": [ "math.PR" ], "abstract": "We study the existence and uniqueness, and the path-differentiability of solution for backward stochastic differential equation (BSDE) driven by a continuous local martingale $M$ with $[M,M]_{t}=\\int_{0}^{t}m_{s}m_{s}^{*}d{\\rm tr}[M,M]_{s}$: \\[ Y_{t}=\\xi(M_{[0,T]})+\\int_{t}^{T}f(s,M_{[0,s]},Y_{s-},Z_{s}m_{s})d{\\rm tr}[M,M]_{s}-\\int_{t}^{T}Z_{s}dM_{s}-N_{T}+N_{t} \\] Here, for $t\\in[0,T]$, $M_{[0,t]}$ is the path of $M$ from $0$ to $t$, and $\\xi(\\gamma_{[0,T]})$ and $f(t,\\gamma_{[0,t]},y,z)$ are deterministic functions of $(t,\\gamma,y,z)\\in[0,T]\\times D\\times\\mathbb{R}^{d}\\times\\mathbb{R}^{d\\times n}$. The path-derivative is defined as a directional derivative with respect to the path-perturbation of $M$ in a similar way to the vertical functional derivative introduced by Dupire (2009), and Cont and Fournie (2013). We first prove the existence and uniqueness of solution in the case where $f(t,\\gamma_{[0,t]},y,z)$ is Lipschitz in $y$ and $z$. After proving $Z$ is a path-derivative of $Y$, we extend the results to locally Lipschitz $f$. When the BSDE is one-dimensional, we could show the existence and uniqueness of solution. On the contrary, when the BSDE is multidimensional, we show the existence and uniqueness only when $[M,M]_{T}$ is small enough: we provide a counterexample which the solution blows up otherwise. Lastly, we investigate the applications to the control of SDE driven by $M$ and optimal portfolio selection problem under power and exponential utility function.", "revisions": [ { "version": "v1", "updated": "2016-06-13T07:05:33.000Z" } ], "analyses": { "subjects": [ "60H10", "60H07", "93E20" ], "keywords": [ "continuous local martingale", "bsde driven", "path-differentiability", "uniqueness", "optimal portfolio selection problem" ], "note": { "typesetting": "TeX", "pages": 29, "language": "en", "license": "arXiv", "status": "editable" } } }