The class imbalance problem in finance fraud datasets often leads to biased prediction towards the nonfraud class, resulting in poor performance in the fraud class. This study explores the effects of utilizing the Synthetic Minority Oversampling TEchnique (SMOTE), a Generative Adversarial...

This paper studies the sub-prime mortgages, credit default swaps (CDS) and collateralised synthetic obligations (CSOs) cooking the books of the financial services industries at a global level. The paper uses the case of the Bank of Barclays to develop a methodology of uncooking the books from...