EconPapers    
Economics at your fingertips  
 

FALLIBILITY OF THE ROUGH SET METHOD IN THE FORMULATION OF THE FAILURE PREDICTION INDEX MODEL OF DYNAMIC RISK

Rubén Mosqueda ()
Additional contact information
Rubén Mosqueda: Instituto Tecnologico y de Estudios Superiores de Monterrey (ITESM)

Journal of Economics, Finance and Administrative Science, 2010, vol. 15, issue 28, 65-88

Abstract: Bankruptcy is one of the most important entrepreneurial problems studied by financial theory. Despite this great effort, there is not a significant progress in order to predict the economic failure. In this way, the evidence suggests that this problem, related to the experimental design, is still present because of two main reasons: ignorance about bankruptcy process and the use of the accounting information as the unique input to construct the predictive models. In order to solve those problems, the RPV Model included both qualitative and accounting information with excellent results. So, the Earning Power Theory – upon which the RPV is based – could cause problems of specification and structure in the model. Empirical results not only verify those suspicions, but they made a stronger model possible by introducing to the equation ERC values adjusted to the risk.

Keywords: Bankruptcy; Rough Set Theory; Predictive Models; GRACH; Earning Power Theory; Quiebra empresarial; Teoría Rough Set; modelos predictivos; GRACH; Teoría Earning Power. (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.esan.edu.pe/publicaciones/2012/06/26/metodo_rough_set_mosqueda.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:joefas:0016

Access Statistics for this article

Journal of Economics, Finance and Administrative Science is currently edited by Nestor U. Salcedo

More articles in Journal of Economics, Finance and Administrative Science from Universidad ESAN 1652 Alonso de Molina, Santiago de Surco 15023, Lima, Peru. Contact information at EDIRC.
Bibliographic data for series maintained by ESAN Ediciones ().

 
Page updated 2025-03-19
Handle: RePEc:ris:joefas:0016