The purpose of this study is to examine the relationship between electoral outcomes and accounting measures at the city level. We use a larger sample, more recent time horizon, and different methodology to provide additional support for the relevance of accounting and financial measures for...

We examined the association between financial disclosure and Net Interest Costs (NIC) in terms of finance studies that have suggested that the municipal bond market is segmented. Our results indicate that financial reporting measures are more strongly associated with NIC in the regional primary...

"Inspired by the Coase (1937) theory of the firm, we analyze the performance of Healy, Palepu, and Ruback (1992) sample of merged firms over a ten-year period using a managerially controlled efficiency measure, data envelopment analysis (DEA). Our individual, firm-level, year-by-year analyses...

This paper considered a preprocessing of input data to improve the performance of standardized BP learning algorithm. In general, even a simple uniform transformation into a proper range improves the efficiency of the BP algorithm. However, uniform transformation becomes inefficient if the input...

There have been impressive growths in applications of data envelopment analysis (DEA) to areas such as accounting and finance in recent years. This special issue is specifically designed to encourage innovative applications of DEA to accounting and finance. Following a rigorous review process,...

This paper presents evidence suggesting that artificial neural networks approach (ANNs) outperform traditional statistical methods and can forecast equity premiums reasonably well. The study replicates out-of-sample estimates of regression using ANN with economic fundamentals as inputs. The...

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...