We propose a flexible machine learning (ML) framework for real-time transaction monitoring in high-value payment systems (HVPS), which are a central piece of a country's financial infrastructure. This framework can be used by system operators and overseers to detect anomalous transactions,...

This paper investigates the impact of newspaper publications about debit card skimming fraud on debit card usage in the Netherlands using daily information from January 1st 2005 to December 31st 2008. Time-series analyses are employed to assess the daily fluctuations in aggregate debit card...

Is having a foreign background a relevant factor in choosing between payment instruments in consumer point-of-sale transactions after migration? We analyze this question using a unique diary survey in which both participants with a Dutch and a foreign background documented their daily purchases....