Search Results for author: Ashkan Nikeghbali

Found 2 papers, 1 papers with code

Mod-Poisson approximation schemes: Applications to credit risk

no code implementations26 Oct 2022 Pierre-Loïc Méliot, Ashkan Nikeghbali, Gabriele Visentin

We introduce a new numerical approximation method for functionals of factor credit portfolio models based on the theory of mod-$\phi$ convergence and mod-$\phi$ approximation schemes.

Universal approximation of credit portfolio losses using Restricted Boltzmann Machines

1 code implementation22 Feb 2022 Giuseppe Genovese, Ashkan Nikeghbali, Nicola Serra, Gabriele Visentin

We introduce a new portfolio credit risk model based on Restricted Boltzmann Machines (RBMs), which are stochastic neural networks capable of universal approximation of loss distributions.

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