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Application of the Poisson process model for the early detection of enterprises' bankruptcy

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  • J. P. Rasson
  • V. Bertholet

Abstract

This paper describes the construction of a tool with a view to selecting significant variables to detect enterprises' bankruptcy. Based on the Poisson process model, it uses a non‐parametric step forward procedure to estimate densities and produce a discriminant analysis method. An important part of our work is the adaptation of the kernel density estimation to the structure of the enterprises' data. We describe also the results of comparison experiments with classical methods (linear and quadratic as well as the k‐nearest neighbour). Copyright © 1999 John Wiley & Sons, Ltd.

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  • J. P. Rasson & V. Bertholet, 1999. "Application of the Poisson process model for the early detection of enterprises' bankruptcy," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 15(4), pages 443-449, October.
    • Handle: RePEc:wly:apsmbi:v:15:y:1999:i:4:p:443-449
    DOI: 10.1002/(SICI)1526-4025(199910/12)15:43.0.CO;2-G
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