In audit testing scenarios, the question arises as to the appropriate way to combine or aggregate the evidence gathered from separate tests of sub-populations into an overall conclusion about the amount of audit risk being borne - that is, the risk of a material amount of misstatement remaining...

This paper investigates the performance of Artificial Neural Networks for the classification and subsequent prediction of business entities into failed and non‐failed classes. Two techniques, back‐propagation and Optimal Estimation Theory (OET), are used to train the neural networks to...

Collusive equilibria in share auctions despite being the focus of previous theoretical research, have received little empirical or experimental support. We develop a theoretical model of uniform price initial public offering (IPO) auctions and show that there exists a continuum of pure strategy...

We use laboratory experiments to compare allocation rules in uniform price divisible good auctions. 'Standard' and 'uniform' allocation rules admit different types of low-price equilibria, which are eliminated by a 'hybrid' rule. We observe little evidence of revenue differences among the...