Abstract:We prove that the mild solution to a semilinear stochastic evolution equation on a Hilbert space, driven by either a square integrable martingale or a Poisson random measure, is (jointly) continuous, in a suitable topology, with respect to the initial datum and all coefficients. In particular, if the leading linear operators are maximal (quasi-)monotone and converge in the strong resolvent sense, the drift and diffusion coefficients are uniformly Lipschitz continuous and converge pointwise, and the initial dat… Show more
“…According to the recent literature, it is also important to note that the BSDEs techniques investigated in the present paper are also strongly connected to theoretical and, respectively, applied, questions (see, e.g., [43,44]) that can lead to highly interesting developments, also from the statistical point of view.…”
Section: Theorem 16 Let One Consider the Forward-backward Delayed Symentioning
We consider a nonlinear pricing problem that takes into account credit risk and funding issues. The aforementioned problem is formulated as a stochastic forward-backward system with delay, both in the forward and in the backward component, whose solution is characterized in terms of viscosity solution to a suitable type of path-dependent PDE.
“…According to the recent literature, it is also important to note that the BSDEs techniques investigated in the present paper are also strongly connected to theoretical and, respectively, applied, questions (see, e.g., [43,44]) that can lead to highly interesting developments, also from the statistical point of view.…”
Section: Theorem 16 Let One Consider the Forward-backward Delayed Symentioning
We consider a nonlinear pricing problem that takes into account credit risk and funding issues. The aforementioned problem is formulated as a stochastic forward-backward system with delay, both in the forward and in the backward component, whose solution is characterized in terms of viscosity solution to a suitable type of path-dependent PDE.
“…To clarify the notation, from now on we indicate the elements of the gPC basis as {Ψ n (x)} n∈N the family of Hermite or Legendre polynomials. We would like to underline that, from a more theoretical point of view, other (approximations) approaches can also be pursued, as, e.g., exploiting techniques outlined in [19], or studying related asymptotics for the involved financial quantities, see, e.g., [2,10] and references therein. The latter approach having the advantage to treat directly small perturbations arising in financial markets, particularly with respect to the consideration of limiting cases for the parameters, as, e.g., w.r.t.…”
Abstract:The present paper provides a sensitivity analysis of bond options exploiting the probabilistic properties of Malliavin Calculus and the computational benefits of the Polynomial Chaos Expansion. The purpose is to use the integration by parts formula of Malliavin Calculus in order to obtain the Greeks, of a given financial derivative, in a form which is suitable for numerical simulation. In particular, such computations will be performed usign the so called Polynomial Chaos Expansion technique, then comparing obtained results versus those retrieved using both the usual Monte-Carlo approach and the analytical formula.
“…We would like to mention that this problem for the stochastic differential equations without delay have been studied intensively. Da Prato and Zabczyk [9] studied the dependence of the solution on the initial datum ξ, Marinelli et al [15,16] studied the problem for the case of Poisson noise. The dependence of the solution on the coefficients f and g were considered by Peszat and Zabczyk [18] and Seidler [19].…”
We prove that the mild solution of a mean-field stochastic functional differential equation, driven by a fractional Brownian motion in a Hilbert space, is continuous in a suitable topology, with respect to the initial datum and all coefficients.
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