Neural Networks: Is it Hermeneutic?

10 Pages Posted: 25 Apr 2004

See all articles by Rama Prasad Kanungo

Rama Prasad Kanungo

Newcastle University London; University of Newcastle

Abstract

This paper proposes a synoptic methodology to evaluate the determinants of audit fees by utilising Neural Networks. First, a brief discussion is presented to highlight the significant application of Neural Network in the areas of financial management; second the framework of proposed methodology has been outlined to examine the implication of audit fees on target sample. The underlying rational of this paper is to establish NNs as a diagnostic tool to assess the effect of audit fees on firms, which indeed warrants further empirical investigation. The importance of Neural Networks emerges from the fact that if external and internal audit fees can be disseminated by employing this methodology which is perceived more significantly robust than other econometric models, then accounting standards can be improved.

Keywords: Neural networks, audit fees

JEL Classification: M49, M44, C90, C50, C53

Suggested Citation

Kanungo, Rama Prasad, Neural Networks: Is it Hermeneutic?. Available at SSRN: https://ssrn.com/abstract=526502 or http://dx.doi.org/10.2139/ssrn.526502

Rama Prasad Kanungo (Contact Author)

Newcastle University London ( email )

Middlesex Street
London, E1 7EZ
United Kingdom

University of Newcastle

Middlesex Street
London, E1 7EZ
United Kingdom

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
255
Abstract Views
2,578
rank
131,270
PlumX Metrics