Carlo Marinelli

  1. Multivariate heavy-tailed models for Value-at-Risk estimation.

    Authors: Carlo Marinelli, Stefano d'Addona, Svetlozar T. Rachev
    Subjects: Risk Management
    Abstract

    For purposes of Value-at-Risk estimation, we consider three multivariate
    families of heavy-tailed distributions, which can be seen as multidimensional
    versions of Paretian stable and Student's t distributions allowing different
    marginals to have different tail thickness. After a discussion of relevant
    estimation and simulation issues, we conduct a backtesting study on a set of
    portfolios containing derivative instruments, using historical US stock price
    data.

  2. Existence of weak solutions for a class of semilinear stochastic wave equations.

    Authors: Carlo Marinelli, Lluís Quer-Sardanyons
    Subjects: Analysis of PDEs
    Abstract

    We prove existence of weak solutions (in the probabilistic sense) for a
    general class of stochastic semilinear wave equations on bounded domains of
    $R^d$ driven by a possibly discontinuous square integrable martingale.

  3. On uniqueness of mild solutions for dissipative stochastic evolution equations.

    Authors: Michael Röckner, Carlo Marinelli
    Subjects: Analysis of PDEs
    Abstract

    In the semigroup approach to stochastic evolution equations, the fundamental
    issue of uniqueness of mild solutions is often "reduced" to the much easier
    problem of proving uniqueness for strong solutions. This reduction is usually
    carried out in a formal way, without really justifying why and how one can do
    that. We provide sufficient conditions for uniqueness of mild solutions to a
    broad class of semilinear stochastic evolution equations with coefficients
    satisfying a monotonicity assumption.

  4. Ergodicity for nonlinear stochastic evolution equations with multiplicative Poisson noise.

    Authors: Carlo Marinelli, Giacomo Ziglio
    Subjects: Analysis of PDEs
    Abstract

    We study the asymptotic behavior of solutions to stochastic evolution
    equations with monotone drift and multiplicative Poisson noise in the
    variational setting, thus covering a large class of (fully) nonlinear partial
    differential equations perturbed by jump noise. In particular, we provide
    sufficient conditions for the existence, ergodicity, and uniqueness of
    invariant measures. Furthermore, under mild additional assumptions, we prove
    that the Kolmogorov equation associated to the stochastic equation with
    additive noise is solvable in $L_1$ spaces with respect to an invariant
    measure.

  5. Strong solutions for stochastic porous media equations with jumps.

    Authors: Viorel Barbu, Carlo Marinelli
    Subjects: Analysis of PDEs
    Abstract

    We prove global well-posedness in the strong sense for stochastic generalized
    porous media equations driven by square integrable martingales with stationary
    independent increments.

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