Prior studies that examine the application of neural networks in auditing investigate the efficiency of artificial neural networks (ANNs). In the present study, considering the well known disadvantages of artificial neural network, we propose the application of probabilistic neural networks...

Using a sample of 50 countries during 2000-2008, this study investigates the possible impact of insurance regulations on life insurance consumption. The evidence reveals a negative and statistically significant association between supervisory control of the policy conditions of life annuities...

This study presents the first attempt to develop classification models for the prediction of share repurchases using multicriteria decision aid (MCDA) methods. The MCDA models are developed using two methods namely UTilités Additives DIScriminantes (UTADIS) and ELimination and Choice Expressing...

Using a sample of around 340 banks from 48 countries, we examine whether and how corporate governance moderates the relationship between monetary policy interest rates and bank stability. Our results show that low interest rates reduce bank stability and have an adverse effect on risk-adjusted...

Credit risk refers to the likelihood that a firm or individual borrower will fail to meet a debt obligation. Credit risk evaluation is a very challenging and important problem in the domain of financial risk management. There are different methods and approaches for constructing credit risk...

Banking crises can be damaging for the economy, and as the recent experience has shown, nowadays they can spread rapidly across the globe with contagious effects. Therefore, the assessment of the stability of the banking sectors is important for regulators, depositors, investors and the general...