Rainer Buckdahn

  1. Pathwise Taylor Expansions for It\^o Random Fields.

    Authors: Rainer Buckdahn, Jin Ma, Ingo Bulla
    Subjects: Probability
    Abstract

    In this paper we study the {\it pathwise stochastic Taylor expansion}, in the
    sense of our previous work \cite{Buckdahn_Ma_02}, for a class of It\^o-type
    random fields in which the diffusion part is allowed to contain both the random
    field itself and its spatial derivatives. Random fields of such an
    "self-exciting" type particularly contains the fully nonlinear stochastic PDEs
    of curvature driven diffusion, as well as certain stochastic
    Hamilton-Jacobi-Bellman equations.

  2. Inf-convolution of G-expectations.

    Authors: Rainer Buckdahn, Xuepeng Bai
    Subjects: Risk Management
    Abstract

    In this paper we will discuss the optimal risk transfer problems when risk
    measures are generated by G-expectations, and we present the relationship
    between inf-convolution of G-expectations and the inf-convolution of drivers G.

  3. Mean-field backward stochastic differential equations: A limit approach.

    Authors: Rainer Buckdahn, Boualem Djehiche, Juan Li, Shige Peng
    Subjects: Probability
    Abstract

    Mathematical mean-field approaches play an important role in different fields
    of Physics and Chemistry, but have found in recent works also their application
    in Economics, Finance and Game Theory.

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