Empirical research on the effect of turnaround initiatives on audit reporting is scant. This paper addresses this gap by examining audit reporting for distressed companies and its association with a broad array of strategic and operating turnaround initiatives. In particular, we study the...

The amount of newly created information increases every year. Large-scale automation projects, the ubiquity of personal computers and the declining prices of storage are all factors that contribute to this trend. The huge amount of information has made it impossible for human analysts to gain a...

Based on two datasets containing Loss Given Default (LGD) observations of home equity and corporate loans, we consider non-linear and non-parametric techniques to model and forecast LGD. These techniques include non-linear Support Vector Regression (SVR), a regression tree and a two-stage model...

The introduction of the Basel II Accord has had a huge impact on financial institutions, allowing them to build credit risk models for three key risk parameters: PD (probability of default), LGD (loss given default) and EAD (exposure at default). Until recently, credit risk research has focused...

On the basis of two data sets containing Loss Given Default (LGD) observations of home equity and corporate loans, we consider non-linear and non-parametric techniques to model and forecast LGD. These techniques include non-linear Support Vector Regression (SVR), a regression tree, a transformed...

Customer churn prediction models aim to indicate the customers with the highest propensity to attrite, allowing to improve the efficiency of customer retention campaigns and to reduce the costs associated with churn. Although cost reduction is their prime objective, churn prediction models are...