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20122022
most citedPricing options on flow forwards by neural networks in Hilbert space

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math.PR2022

Robustness of Hilbert space-valued stochastic volatility models

Fred Espen Benth, Heidar Eyjolfsson

In this paper we show that Hilbert space-valued stochastic models are robust with respect to perturbation, due to measurement or approximation errors, in the underlying volatility…

math.PR2021

Stochastic Integrals and Gelfand Integration in Fréchet Spaces

Fred Espen Benth, Luca Galimberti

We provide a detailed analysis of the Gelfand integral on Fréchet spaces, showing among other things a Vitali theorem, dominated convergence and a Fubini result. Furthermore, the G…

math.PR2021

A Topological Proof of Sklar's Theorem in Arbitrary Dimensions

Fred Espen Benth, Giulia Di Nunno, Dennis Schroers

We prove Sklar's theorem in infinite dimensions via a topological argument and the notion of inverse systems.

math.PR2020

Sensitivity analysis in the infinite dimensional Heston model

Fred Espen Benth, Giulia Di Nunno, Iben Cathrine Simonsen

We consider the infinite dimensional Heston stochastic volatility model proposed in \arXiv:1706:03500. The price of a forward contract on a non-storable commodity is modelled by a…

math.PR2020

Copula Measures and Sklar's Theorem in Arbitrary Dimensions

Fred Espen Benth, Giulia Di Nunno, Dennis Schroers

Although copulas are used and defined for various infinite-dimensional objects (e.g. Gaussian processes and Markov processes), there is no prevalent notion of a copula that unifies…

math.PR2020

A weak law of large numbers for realised covariation in a Hilbert space setting

Fred Espen Benth, Dennis Schroers, Almut E. D. Veraart

This article generalises the concept of realised covariation to Hilbert-space-valued stochastic processes. More precisely, based on high-frequency functional data, we construct an…