Deep xVA solver -- a neural network based counterparty credit risk management framework
In this paper, we present a novel computational framework for portfolio-wide risk management problems, where the presence of a potentially large number of risk factors makes traditional numerical techniques ineffective. The new method utilizes a coupled system of BSDEs for the valuation adjustments...
Hlavní autoři: | Gnoatto, A, Picarelli, A, Reisinger, C |
---|---|
Médium: | Journal article |
Jazyk: | English |
Vydáno: |
Society for Industrial and Applied Mathematics
2023
|
Podobné jednotky
-
An SGBM-XVA demonstrator: a scalable Python tool for pricing XVA
Autor: Ki Wai Chau, a další
Vydáno: (2020-02-01) -
Myosin XVA: dancing at the tips of the stereocilia
Autor: Haibo Du, a další
Vydáno: (2020-06-01) -
Modelling Counterparty Credit Risk in Czech Interest Rate Swaps
Autor: Lenka Křivánková, a další
Vydáno: (2017-01-01) -
Counterparty credit limits: the impact of a risk-mitigation measure on everyday trading
Autor: Gould, M, a další
Vydáno: (2021) -
Double-Layer Network Model of Bank-Enterprise Counterparty Credit Risk Contagion
Autor: Tingqiang Chen, a další
Vydáno: (2020-01-01)