Mapping Financial Performances in Italian ICT-Related Firms via Self-organizing Maps

Marina Resta (), Roberto Garelli () and Renata Paola Dameri ()
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Marina Resta: University of Genova
Roberto Garelli: University of Genova
Renata Paola Dameri: University of Genova

A chapter in Network, Smart and Open, 2018, pp 271-281 from Springer

Abstract: Abstract In this work, we explore the application of machine learning models (MLM) to the analysis of firms’ performance. To such aim, we consider a bunch of financial indicators on firms operating in the Information and Communication Technology (ICT) sector, with attention to enterprises providing ICT related-services. The rationale is to highlight the potential of MLM to exploit the complexity of financial data, and to offer a handy way to visualize the related information. In fact, instead of performing classical analysis, we discuss how to apply to those indicators Self-Organizing Maps-SOMs—that are well suited to manage high dimensional and complex datasets to extract their relevant features. It emerges that SOMs are useful in clustering companies depending on multi-dimensional criteria and in analysing hidden relations in companies’ performances.

Keywords: ICT-related firms; Financial performances; Self-organizing maps (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-62636-9_18

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DOI: 10.1007/978-3-319-62636-9_18

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