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2021 | OriginalPaper | Chapter

Analysis of Business Growth in Mexico Using Weight of Evidence. Period: 2008–2017

Authors : Deyanira Bernal-Domínguez, Inés Fernando Vega-López

Published in: Intelligent and Complex Systems in Economics and Business

Publisher: Springer International Publishing

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Abstract

The growth of Mexican companies is measured by increasing sales, and some of their determinants are, according to the literature review, accounting and financial data such as total assets, financing alternatives, and profitability. We seek to know the weight of the evidence of each of the mentioned variables in order to identify if they are good predictors of growth. The applied methodology uses the weight of evidence and information value to rank variable importance. The most important variables are used to generate three different predictive models. Our results show that the main variables affecting growth are EBIT, consolidated net worth, and total assets. The best predictive model is artificial neural networks.

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Metadata
Title
Analysis of Business Growth in Mexico Using Weight of Evidence. Period: 2008–2017
Authors
Deyanira Bernal-Domínguez
Inés Fernando Vega-López
Copyright Year
2021
Book
Intelligent and Complex Systems in Economics and Business

Print ISBN: 978-3-030-59190-8

Electronic ISBN: 978-3-030-59191-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-59191-5_8

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