Machine Learning for Supporting the Processing of Post-Trading Fees

dc.contributor.authorSimonella, Geremia
dc.contributor.mentorHanne, Thomas
dc.date.accessioned2025-07-09T12:45:18Z
dc.date.issued2025
dc.description.abstractThis research explores the potential of machine learning to address these challenges by automating the categorisation and processing of these fees, with the aim of reducing manual input, minimising errors and improving overall efficiency.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/52042
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleMachine Learning for Supporting the Processing of Post-Trading Fees
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Sciencede_CH
relation.isMentorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isMentorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
Dateien
Sammlung
Master of Science