Abstract
Small and medium enterprises (SME) are crucial for economy and have a higher exposure rate to default than large corporates. In this work, we address the problem of predicting the default of an SME. Default prediction models typically only consider the previous financial situation of each analysed company. Thus, they do not take into account the interactions between companies, which could be insightful as SMEs live in a supply chain ecosystem in which they constantly do business with each other. Thereby, we present a novel method to improve traditional default prediction models by incorporating information about the insolvency situation of customers and suppliers of a given SME, using a graph-based representation of SME supply chains. We analyze its performance and illustrate how this proposed solution outperforms the traditional default prediction approaches.
Original language | English |
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Title of host publication | Complex Networks and Their Applications X |
Subtitle of host publication | Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Volume 1 |
Editors | Rosa Maria Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo |
Place of Publication | Cham |
Publisher | Springer |
Pages | 732-743 |
Number of pages | 12 |
Edition | 1 |
ISBN (Electronic) | 978-3-030-93409-5 |
ISBN (Print) | 978-3-030-93411-8 |
DOIs | |
Publication status | Published - 2022 |
Event | 10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021 - Hybrid at Madrid, Spain Duration: 30 Nov 2021 → 2 Dec 2021 Conference number: 10th |
Publication series
Name | Studies in Computational Intelligence |
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Publisher | Springer |
Volume | 1015 |
ISSN (Print) | 1860-949X |
ISSN (Electronic) | 1860-9503 |
Conference
Conference | 10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021 |
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Country/Territory | Spain |
City | Hybrid at Madrid |
Period | 30/11/21 → 2/12/21 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Default prediction
- Network centrality
- Network features
- Network-based models
- Transactional network