activity
20072026
most citedStrong solutions of SDE's with generalized drift and multidimensional fractional Brownian initial noise

6 citations · 7 across the 14 of their papers we have counts for

collaborators

19 papers

math.PR2026

Signature McKean-Vlasov stochastic differential equations

Fred Espen Benth, Salvador Ortiz-Latorre, Leonardo Tarquini

McKean-Vlasov-type stochastic differential equations (SDEs) are characterized by coefficients depending on both the state and the law of the solution. In this work, we focus on a c…

math.PR2025

Convergence in law for quasi-linear SPDEs

Maria Jolis, Salvador Ortiz-Latorre, Lluís Quer-Sardanyons

We consider the quasi-linear stochastic wave and heat equations in with and , respectively, and perturbed by an additive Gaussian noise whi…

q-fin.PR2024

A functional variational approach to pricing path dependent insurance policies

David R. Baños, Salvador Ortiz-Latorre, Oriol Zamora Font

The main purpose of this work is the derivation of a functional partial differential equation (FPDE) for the calculations of equity-linked insurance policies, where the payment str…

q-fin.PR2023

Thiele's PIDE for unit-linked policies in the Heston-Hawkes stochastic volatility model

David R. Baños, Salvador Ortiz-Latorre, Oriol Zamora Font

The main purpose of the paper is to derive Thiele's differential equation for unit-linked policies in the Heston-Hawkes stochastic volatility model introduced in arXiv:2210.15343.…

math.PR2022

Change of measure in a Heston-Hawkes stochastic volatility model

David R. Baños, Salvador Ortiz-Latorre, Oriol Zamora Font

We consider the stochastic volatility model obtained by adding a compound Hawkes process to the volatility of the well-known Heston model. A Hawkes process is a self-exciting count…

math.PR2022

An application of the splitting-up method for the computation of a neural network representation for the solution for the filtering equations

Dan Crisan, Alexander Lobbe, Salvador Ortiz-Latorre

The filtering equations govern the evolution of the conditional distribution of a signal process given partial, and possibly noisy, observations arriving sequentially in time. Thei…