In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 Belgian Small and Medium Enterprises (SME’s) during...

We investigate the default probability, recovery rates and loss distribution of a portfolio of securitised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loan level data information provided by the European DataWarehouse platform and employ a logistic...

The extant literature on the association of political connectedness and performance of large firms has led to controversial results, while the context of micro-, small- and medium-sized enterprises (SMEs) has largely been overlooked in relevant studies. To resolve these gaps, the objective of...