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This is Juan Julián Merelo Guervós English-language blog. He teaches computer science at the University of Granada, in southern Spain. Come back here to read about politics, technology, with a new twist

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    Inicio > Historias > Predicting which company is going to fold...

    Predicting which company is going to fold...

    Heyde AG (el día de la quiebra y cierre final) (by Jaume d'Urgell)... is as relevant as ever, so our paper on Finding relevant variables in a financial distress prediction problem using genetic programming and self-organizing maps, a chapter in the book Natural Computing in Computational Finance is quite timely. This paper uses two different techniques to find out which of the dozen or so variables used in financial prediction is more relevant when predicting distress: Genetic Programming and Self-Organizing Maps (via planes analysis). It so happens there's not much overlap between what they found, but they both found a small set that synthesize financial situation quite nicely.
    This is the last installment in our financial prediction saga, which included this other paper, with more enphasis in Kohonen's SOM, that tries to delve into what causes financial distress in the first place, and this other paper that tries to see which classification algorithm is the best for minimizing false positives and negatives at the same time.
    Finally, if your university is subscribed, you can also download the paper from SpringerLink

    2009-03-08 10:23 | 14 Comment(s) | Filed in Research

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