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Multidimensional scaling applied to corporate failure

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Author Info
Molinero, C Mar
Ezzamel, M
Abstract

This paper uses Multidimensional Scaling (MDS) techniques to explore the relationship between a sample of financial ratios that can be used to describe the health of a firm. It is shown that compared with conventional multivariate techniques, MDS can be used to summarise complex information in an efficient and intuitive way. The technique allows for comparisons to be made between different sets of data and across different time periods. The paper explores time invariant relationships between ratios, and the differences between failed and non-failed firms.

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File URL: http://www.sciencedirect.com/science/article/B6VC4-48TTNKH-GN/2/35b16dee32ce163a9e37cea09f2fa2f1
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Publisher Info
Article provided by Elsevier in its journal Omega.

Volume (Year): 19 (1991)
Issue (Month): 4 ()
Pages: 259-274
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Handle: RePEc:eee:jomega:v:19:y:1991:i:4:p:259-274

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Related research
Keywords: multidimensional scaling corporate failure performance ratios;

Cited by:
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  1. Balcaen S. & Ooghe H., 2004. "Alternative methodologies in studies on business failure: do they produce better results than the classic statistical methods?," Vlerick Leuven Gent Management School Working Paper Series 2004-16, Vlerick Leuven Gent Management School. [Downloadable!]
    Other versions:
  2. Carlos Serrano-Cinca, 1997. "Feedforward neural networks in the classification of financial information," European Journal of Finance, Taylor and Francis Journals, vol. 3(3), pages 183-202, September. [Downloadable!] (restricted)
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This page was last updated on 2009-12-3.


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