We propose a framework for an ensemble bankruptcy classifier that uses if-then rules to combine the outputs from a heterogeneous set classifiers. A genetic algorithm (GA) induces the rules using an asymmetric, cost-sensitive fitness function that includes accuracy and misclassification costs....

We examine the relationship between corporate governance and default risk for a sample of firms cited in the Securities and Exchange Commission's (SEC's) Accounting and Auditing Enforcement Releases (AAERs). Using hazard analysis of actual default incidence and OLS regressions of a continuous...

This paper develops an adaptive ensemble model for bankruptcy classification of firms cited in the SEC's Accounting and Auditing Enforcement Releases (AAER). We develop a Genetic Algorithm (GA) model for bankruptcy classification of AAER firms. Our research contributes to the bankruptcy...

We develop hypotheses regarding the association between two types of creditor rights and bank loan losses. Contrary to prior research conclusions, bank lending risk is negatively associated with both restrictions on reorganization and the secured creditor being paid first. Using accounting...

Several theoretical studies provide predictions on the relation between settlement likelihood and litigation stakes. Although models with generalizable settings argue in favor of a negative relation, certain specialized settings predict the opposite. In contrast to the theoretical literature,...