Fuzzy logic and financial risk. A proposed classification of financial risk to the cooperative sector
| Autor: | Edisson Coba Molina, Jaime Fabián Díaz Córdova, Paúl Navarrete López |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Solvency
Computer science Financial risk Financial ratio 06 humanities and the arts 02 engineering and technology 0603 philosophy ethics and religion General Business Management and Accounting Fuzzy logic Credit rating 020204 information systems Value (economics) 0202 electrical engineering electronic engineering information engineering Econometrics Relevance (information retrieval) 060301 applied ethics Set (psychology) |
| Zdroj: | Contaduría y Administración. 62:1687-1703 |
| ISSN: | 0186-1042 |
| DOI: | 10.1016/j.cya.2017.10.001 |
| Popis: | Applying fuzzy logic to financial indicators is not a well disseminated proposal in the accounting field. This methodology allows observing the results of financial ratios with a broader perspective, showing neither completely true nor completely false results, since they can take an undetermined truthfulness value within a set of values, applying the fuzzy logic theory. The objective of this work is to introduce the reader to the application of fuzzy logic on financial risk indicators, using the ratios of one of the sector one cooperatives of Ecuador, and thus validate the level of relevance of this indicator when compared to the standardized objective of the CAMEL model and its risk rating. To apply this theory, linguistic variables were used, the ranges of which were evaluated in 0–1 scales. It was determined that the fuzzy methodology, applied to financial risks, presents a greater level of relevance toward a good credit rating, ensuring a low level of risk and a very good solvency. However, in periods of low economic activity it would stagnate in this level due to the increased risk. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|