This paper takes a deep learning approach to understand consumer credit risk when e-commerce platforms issue unsecured credit to finance customers' purchases. The "NeuCredit" model can capture both serial dependences in multi-dimensional time series data when event frequencies in each dimension...

We analyze the information content of the digital footprint - information that people leave online simply by accessing or registering on a website - for predicting consumer default. Using more than 250,000 observations, we show that even simple, easily accessible variables from the digital...

We analyze the information content of the digital footprint – information that people leave online simply by accessing or registering on a website – for predicting consumer default. Using more than 250,000 observations, we show that even simple, easily accessible variables from the digital...

We analyze the information content of the digital footprint – information that people leave online simply by accessing or registering on a website – for predicting consumer default. We show that even simple, easily accessible variables from the digital footprint match the information content...

We investigate the effect of an EU-wide consumer protection regulation on consumer trust as well as consumer behavior. The Unfair Commercial Practice Directive (UCPD) was implemented by EU member states between 2007 and 2010. We utilize data from the Special and Flash Eurobarometer for the years...

The current paper aims to investigate the relation between competit ion and online purchasing decision-making, integrating consumer protection awareness and the corresponding consumer behavior as mediators. The focus is on both subjective and objective measures related to the level of consumer...