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Minería de datos y lógica difusa.Una aplicación al estudio de la rentabilidad económica de las empresas agroalimentarias en Andalucía

Listed author(s):
  • Bárbara Díaz

    (Universidad de Málaga)

  • Antonio Morillas

    (Universidad de Málaga)

En este trabajo se estudia la rentabilidad de la empresa agroalimentaria en Andalucía (España)mediante un conjunto de ratios, elaborados por el Instituto de Estadística de Andalucía a partir de la Central de Balances de Actividades Empresariales de Andalucía. El objeto es encontrar las características contables de las empresas más rentables. Los aspectos metodológicos que se contemplan en la aplicación comprenden algunas técnicas estadísticas avanzadas y nuevos métodos de extracción de conocimiento en grandes bases de datos (knowledge discovery y data mining). Las conclusiones a que se llega, expresadas en forma de reglas difusas obtenidas de la base de datos mediante la “teoría computacional de la percepción” (Zadeh, 2001; Last, Klein y Kandel, 2001), parecen plenamente congruentes con los postulados del análisis financiero.Si la rotación de activos es baja, no hay altas rentabilidades. Por el contrario, una importante rotación del activo, acompañada por una aceptable situación de liquidez, es lo que caracteriza a las empresas más rentables.

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Paper provided by EconWPA in its series GE, Growth, Math methods with number 0512003.

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Length: 22 pages
Date of creation: 09 Dec 2005
Handle: RePEc:wpa:wuwpge:0512003
Note: Type of Document - pdf; pages: 22
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  1. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
  2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, December.
  3. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
  4. Allen N. Berger & David B. Humphrey, 1990. "Measurement and efficiency issues in commercial banking," Finance and Economics Discussion Series 151, Board of Governors of the Federal Reserve System (U.S.).
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