We aim to derive a fraud detection approach applicable to conditions where historical fraud data is absent, inadequate, or outdated for making predictions. To this end, we propose a new approach to fraud detection based on expert opinion, enabling tailored tools for various conditions of...

This article provides a novel insight into whether earnings manipulation signals are reflected in banks' internal credit risk estimates, as measured by the probability of default (PD) estimates, and whether such manipulation has an impact on credit risk (point in time or deferred). The...

This study examines the moderating effect of audit fee on the relation-ship between board structure and the likelihood of financial statements fraud (LFSF). The study uses the logistic regression and a sample of 15 manufacturing firms listed within the East African Community partner states from...