APPLYING STRING EDIT DISTANCE TO DISCOVER BUSINESS SUBSIDIARIES

Lucian Hancu

Revista Economica, 2012, vol. Supplement, issue 5, 94-101

Abstract: Mergers and Acquisitions models for predicting future strategic transactions between two business entities require high-quality Information Systems, with precise data from multiple sources. Discovering whether a company is a subsidiary of a stronger one is a crucial task for correctly predicting future transactions among the available companies. In this article, we apply string edit distances in order to discover the main company of a business subsidiary. These findings have multiple applications, ranging from improving the strategic models for predicting Mergers and Acquisitions transactions, to correctly input the business partners` financial information on each of the business entities Information Systems.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:blg:reveco:v:supplement:y:2012:i:5:p:94-101

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