Original Paper

Review of Managerial Science

, Volume 8, Issue 1, pp 89-119

First online:

What factors drive personal loan fraud? Evidence from Germany

  • Gregor DorfleitnerAffiliated withUniversity of Regensburg Email author 
  • , Hilger JahnesAffiliated with

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access


Based on a data set of nearly 43,000 personal loan applications from Germany, this paper empirically determines key factors of application fraud such as, for instance, the sales channel or the loan amount. This is done univariately as well as by employing a logistic regression, which is found to be a statistically significant approach for profiling loan application fraudsters. Besides in-sample and out-of-sample verifications, we also prove the economic significance of our results by developing a fraud management framework taking the fraud rate, the average default cost due to fraud as well as the fraud screening costs into account.


Personal loan fraud Logistic regression Fraud management

JEL Classification

G21 D14 K14