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Bank failure: a multidimensional scaling approach

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Author Info
Cecilio Mar-Molinero, Carlos Serrano-Cinca

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Abstract

Mathematical models for the prediction of company failure are by now well established. Most of the work on multivariate modelling of distress prediction attempts to obtain a score that gives the failure probability of a company. A data set of 66 Spanish banks, 29 of which failed, is used to show that multidimensional scaling (MDS) techniques can be of use to produce simple tools for the analysis of financial health. MDS has the advantage of producing pictorial representations that are easy to interpret and use. This is done without loss of statistical rigour given the very close links between MDS and other multivariate statistical techniques that are normally used in the analysis of failure. As an example, the technique is used to trace the financial path of an ailing bank.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal The European Journal of Finance.

Volume (Year): 7 (2001)
Issue (Month): 2 (June)
Pages: 165-183
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Handle: RePEc:taf:eurjfi:v:7:y:2001:i:2:p:165-183

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Related research
Keywords: Bankruptcy Prediction Financial Ratios Multidimensional Scaling Box And Whiskers Diagrams Spanish Banking System;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. 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)
  2. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer, vol. 29(1), pages 1-27, March. [Downloadable!] (restricted)
  3. Green, Paul E & Maheshwari, Arun, 1969. "Common Stock Perception and Preference: An Application of Multidimensional Scaling," Journal of Business, University of Chicago Press, vol. 42(4), pages 439-57, October. [Downloadable!] (restricted)
  4. Davidson, Russell & MacKinnon, James G., 1984. "Convenient specification tests for logit and probit models," Journal of Econometrics, Elsevier, vol. 25(3), pages 241-262, July. [Downloadable!] (restricted)
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  5. James Lingoes, 1971. "Some boundary conditions for a monotone analysis of symmetric matrices," Psychometrika, Springer, vol. 36(2), pages 195-203, June. [Downloadable!] (restricted)
  6. Eisenbeis, Robert A, 1977. "Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics," Journal of Finance, American Finance Association, vol. 32(3), pages 875-900, June. [Downloadable!] (restricted)
  7. Smith, P, 1990. "Data envelopment analysis applied to financial statements," Omega, Elsevier, vol. 18(2), pages 131-138. [Downloadable!] (restricted)
  8. Haggstrom, Gus W, 1983. "Logistic Regression and Discriminant Analysis by Ordinary Least Squares," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 229-38, July.
  9. Lo, Andrew W., 1986. "Logit versus discriminant analysis : A specification test and application to corporate bankruptcies," Journal of Econometrics, Elsevier, vol. 31(2), pages 151-178, March. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  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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