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Financial performance and distress profiles. From classification according to financial ratios to compositional classification (Seminari Estadística) S. Linares Mustarós, G. Coenders and M. Vives-Mestres
 
Inici:
12/01/2017 12:00
Fi:
12/01/2017 14:00
Lloc:
Seminari Aitchison - Edifici P4 - Campus Montilivi – Girona
Organitza:
Grup de Recerca en Estadística i Anàlisi de Dades Composicionals (Universitat de Girona).
Firms financial structure is commonly analyzed in terms of financial ratios 
that measure the relative size of various accounts in the financial statements. 
Some examples of well-known financial ratios are the acid test ratio, the inventory 
to working capital ratio, the liability to asset ratio or the equity to debt ratio among others. 
We focus on the use of those ratios for cluster analysis, that is, to classify firms 
according to the similarity of the structure of their financial statements.
 
Financial ratios have some undesirable properties to be used on cluster analysis: 
skewed distributions, asymmetry (A/B and B/A), outliers not reporting atypical behaviors, 
redundancy (spurious correlations) and nonlinear relations between ratios. 
Solutions to overcome those drawbacks have been proposed in literature, 
but still have proved problematic. 
 
In this work we put forward an alternative method for classifying firms 
which aims at solving the above mentioned shortcomings and draws from the 
Compositional Data analysis (CoDa) literature. CoDa analysis solves the major statistical 
and methodological issues when relative magnitudes of positive components are of interest, 
which is the case of financial ratios. Our approach is based on the use of existent cluster 
methods on isometric log-ratio coordinates.
 
In this talk we present the most common financial ratios, their interest and use. 
Then we focus on the problems on the use of those ratios on cluster analysis 
and the solutions found in literature. Next we present the new methodology based on CoDa analysis 
and finally we show an example of application and compare the results with the use of standard ratios.