What lies ahead developing a fraud prediction model: Application of artificial intelligence methods using firm-specific data and locational factors

• Main Authors: Apolinar, Jeneva Marielle B., Kung, Jim Ericson B., Ramirez, Jill Irish C., Rebadomia, Winona C.
• Format: text
• Language: English
• Published: Animo Repository 2014
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/12188
• Institution: De La Salle University

In light of the constant threat that fraudulent activities pose to various stakeholders, this study sought to develop a forecasting model that could predict the occurrence of fraud in companies based on publicly available financial and locational information, specifically: current ratio, total asset...