This paper predates the Sarbanes-Oxley Act of 2002 (Section 704: Study of Enforcement Actions) by three years. The purpose of this study is to compare a class of neural networks and fuzzy controller approaches, more specifically, a multi-layered perceptron (MLP) and a self-organizing fuzzy...

Recent revelations by several high profile instances of fraudulent financial reporting provided the motivation for this paper. This case highlights the weaknesses of the accrual-deferral basis of accounting which provides the theoretical foundations for both the U.S. Generally Accepted...

This is the first published study, to our best best knowledge, to look at the junk IPOs in a systematic manner using a quasi-experimental design. The study abandons the notion of homogeneous market for IPOs, and instead focuses on the differential demand for information across identifiable...

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...

This paper was inspired by the Coase (1937) theory of the firm. The purpose of this paper is to show the applicability of data envelopment analysis (DEA) in arriving at an unbiased account of relative performance of a set of companies, using the pharmaceutical industry as an example. A DEA based...

This paper draws on the group theory to derive some predictions regarding interest group participation in financial accounting setting. Out of the total spectrum of groups that can be potentially affected by accounting standards, only those who foresee large benefits from securing preferred...