activity
20192025
collaborators

6 papers

math.PR2025

A class of locally state-dependent models for forward curves

Nils Detering, Silvia Lavagnini

We present a dynamic model for forward curves within the Heath-Jarrow-Morton framework under the Musiela parametrization. The forward curves take values in a function space H, and…

q-fin.PR2023

Cross-Currency Heath-Jarrow-Morton Framework in the Multiple-Curve Setting

Alessandro Gnoatto, Silvia Lavagnini

We provide a general HJM framework for forward contracts written on abstract market indices with arbitrary fixing and payment adjustments, and featuring collateralization in any cu…

q-fin.CP2022

Deep Quadratic Hedging

Alessandro Gnoatto, Silvia Lavagnini, Athena Picarelli

We propose a novel computational procedure for quadratic hedging in high-dimensional incomplete markets, covering mean-variance hedging and local risk minimization. Starting from t…

q-fin.PR2021

Pricing Asian Options with Correlators

Silvia Lavagnini

We derive a series expansion by Hermite polynomials for the price of an arithmetic Asian option. This series requires the computation of moments and correlators of the underlying p…

q-fin.MF2020

Accuracy of Deep Learning in Calibrating HJM Forward Curves

Fred Espen Benth, Nils Detering, Silvia Lavagnini

We price European-style options written on forward contracts in a commodity market, which we model with an infinite-dimensional Heath-Jarrow-Morton (HJM) approach. For this purpose…

math.PR2019

Correlators of Polynomial Processes

Fred Espen Benth, Silvia Lavagnini

In the setting of polynomial jump-diffusion dynamics, we provide an explicit formula for computing correlators, namely, cross-moments of the process at different time points along…