Print Email Facebook Twitter An SGBM-XVA demonstrator a scalable Python tool for pricing XVA Title An SGBM-XVA demonstrator a scalable Python tool for pricing XVA Author Chau, K.W. Tang, J.M. Oosterlee, C.W. Publication year 2020 Subject CUDA PythonSGBMXVACostsDifferential equationsHigh level languagesRisk managementStochastic systemsBackward stochastic differential equationsBundling methodCUDA PythonFinancial applicationsFinancial crisisManagement problemsReal-worldSGBMComputer software To reference this document use: http://resolver.tudelft.nl/uuid:08a91a7e-b4bc-4496-a66c-e32105d48daa TNO identifier 955227 Publisher Springer ISSN 2190-5983 Source Journal of Mathematics in Industry, 10 (10) Document type article Files To receive the publication files, please send an e-mail request to TNO Library.