Abstract

ALVAREZ-PERDOMO, Patricia Eugenia; TAMAYO SABORIT, Michel  and  GOVEA VILCACUNDO, José Luís. Multivariate techniques: a contribution to the financial assessment of Ecuadorian SMES involved in banana production. Universidad y Sociedad [online]. 2022, vol.14, n.4, pp. 475-485.  Epub Aug 30, 2022. ISSN 2218-3620.

The financial assessment of SMEs involved in banana production can benefit from the use of multivariate techniques. To this end, the objective of the present work consisted in the application of discriminant analysis to identify variables with discriminative power among SMEs in the ecuadorian banana industry. Such dependent variables can be instrumental to develop predictive models able to anticipate financial scenarios and to support decision-making during enterprise management. A non-experimental, cross-sectional research with a correlational scope was conducted. The study sample consisted of 53 SMEs in the Ecuadorian banana industry whose Financial Statements for the 2017-2019 period are publicly available through the database of the national financial management authority. The resultant discriminant function confirmed the discriminative power of four financial indicators: Current Liquidity (LC), Net Return on Assets (RNA), Sales Rotation (RV) and Financial Leverage (AF). The potential applicability of the generated knowledge is discussed in the frame of predictive financial analysis of the studied SMEs. With the intention of determining the best dependent variables that best discriminate to characterize the selected sample, supported by management decision making.

Keywords : Multivariate Techniques; Discriminant analysis; SMEs in the banana industry; predictive financial assessment.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )