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Scientific paper - Original scientific paper
Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME
Engineering Proceedings, 39 (2023), 1; 62. https://doi.org/10.3390/engproc2023039062
Kuvek, Tamara; Pervan, Ivica; Pervan, Maja

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Kuvek, T., Pervan, I. & Pervan, M. (2023). Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME. Engineering Proceedings, 39. (1). doi: 10.3390/engproc2023039062

Kuvek, Tamara, et al. "Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME." Engineering Proceedings, vol. 39, no. 1, 2023. https://doi.org/10.3390/engproc2023039062

Kuvek, Tamara, Ivica Pervan and Maja Pervan. "Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME." Engineering Proceedings 39, no. 1 (2023). https://doi.org/10.3390/engproc2023039062

Kuvek, T., Pervan, I. and Pervan, M. (2023) 'Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME', Engineering Proceedings, 39(1). doi: 10.3390/engproc2023039062

Kuvek T, Pervan I, Pervan M. Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME. Engineering Proceedings [Internet]. 2023 [cited 2024 July 26];39(1). doi: 10.3390/engproc2023039062

T. Kuvek, I. Pervan and M. Pervan, "Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME", Engineering Proceedings, vol. 39, no. 1, 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:124:035164. [Accessed: 26 July 2024]

Metadata
Title (english)Improving the Accuracy of Firm Failure Forecasting Using Non-Financial Variables: The Case of Croatian SME
AuthorTamara Kuvek
AuthorIvica Pervan
AuthorMaja Pervan
Author's institutionUniversity of Split
Faculty of economics Split
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract (english)
Empirical findings based on a bivariate logistic regression model with two SME categories (successful and failed) indicate that by adding non-financial indicators to the model based on financial variables, the accuracy of forecasting increases significantly. Namely, the total classification error decreases by an average of 26.99%, while the AUROC value increases by an average of 7.33%. In the additional model, with three firm categories (successful, sensitive, and failed), the findings reveal that one financial variable (self-financing) and three non-financial variables (orderly settlement of obligations, export, and age) significantly explain the occurrence of the early stage of SME failure.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleEngineering Proceedings
Numberingvol. 39, no. 1, 62
BPC0,00 EUR
p-ISSN2673-4591
DOIhttps://doi.org/10.3390/engproc2023039062
URN:NBNurn:nbn:hr:124:035164
Publication2023
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) icon
Created on2024-07-17 14:47:11