Business failure forecasting models and the selection of explanatory variables: The case of France (notice n° 169723)

détails MARC
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control field 20250112034814.0
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Language code of text/sound track or separate title fre
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Authentication code dc
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Personal name Zammel, Madiha
Relator term author
245 00 - TITLE STATEMENT
Title Business failure forecasting models and the selection of explanatory variables: The case of France
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Date of publication, distribution, etc. 2020.<br/>
500 ## - GENERAL NOTE
General note 15
520 ## - SUMMARY, ETC.
Summary, etc. The purpose of this paper is to establish different business failure prediction models and to investigate the timeline of events leading to the failure of French companies. The models used are the logistic regression and neural network models. The variables introduced in these models were selected on the basis of three techniques: principal component analysis (PCA), LASSO (the least absolute shrinkage and selection operator) and linear discriminant analysis (LDA). The results of our models show that the LASSO technique makes it possible to obtain the best “rate of good rankings.” In addition, the larger the horizon of analysis is, the smaller the forecasting capacity of the model.
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Topical term or geographic name as entry element business failure
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Topical term or geographic name as entry element LDA
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element selection of variables
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Topical term or geographic name as entry element forecasting
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element LASSO
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element PCA
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element company’s failure
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element LDA
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element forecasting
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element variables selection
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element LASSO
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element PCA
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Brédart, Xavier
Relator term author
786 0# - DATA SOURCE ENTRY
Note Management & Prospective | Volume 37 | 3 | 2020-11-02 | p. 67-90
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shs.cairn.info/journal-gestion-2000-2020-3-page-67?lang=en">https://shs.cairn.info/journal-gestion-2000-2020-3-page-67?lang=en</a>

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