P
Pablo de Llano Monelos
Researcher at University of A Coruña
Publications - 21
Citations - 117
Pablo de Llano Monelos is an academic researcher from University of A Coruña. The author has contributed to research in topics: Audit & Logit. The author has an hindex of 7, co-authored 21 publications receiving 111 citations.
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A parsimonious model to forecast financial distress, based on audit evidence
TL;DR: In this article, the authors provided evidence that audit reports convey relevant evidence for inferring the existence of underlying, unrevealed, financial imbalances and used this evidence to build and test a parsimonious and reliable forecast model.
Las TIC como inductores de competitividad y facilitadores del éxito empresarial
TL;DR: The impact of inversiones en TIC sobre la supervivencia empresarial, entendida como un indicator externo de salud financiera and exito competitivo, is examined in this paper.
Journal Article
Mapa de Riesgos: Identificación y Gestión de Riesgos
TL;DR: Previous evidences from banking are extended and offered and a metamodel of risk in non-financial firms is offered, and a map specifically designed to monitor the key processes that lead to the events to insolvency and financial failure is offered.
Posted Content
Bankruptcy prediction models in Galician companies. Application of parametric methodologies and artificial intelligence
TL;DR: Empirical evidence on the prediction of non-financial companies’ failure is provided and models developed are found to be extremely effective when applied in medium and long term, and that they offer higher predictive capabilities than external audit.
Journal ArticleDOI
DEA as a business failure prediction tool. Application to the case of galician SMEs
TL;DR: The research group has developed models based on relevant financial variables from the perspective of the financial logic, voltage and financial failure, applying three methods of analysis: discriminant, logit and multivariate linear, and closed the first cycle using mathematical programming –DEA or Data EnvelopmentAnalysis– to support the failure forecast.