Financial Distress Prediction Model

Evaliati Amaniyah; Abdul Mongid; Nadia Asandimitra Haryono; Hariyati Hariyati

doi:10.2991/978-2-38476-317-7_160

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Financial Distress Prediction Model

Authors

Evaliati Amaniyah¹^{, *}, Abdul Mongid², Nadia Asandimitra Haryono², Hariyati Hariyati²

¹Doctoral Student, Univesitas Negeri Surabaya, Surabaya, Indonesia

²Univesitas Negeri Surabaya, Surabaya, Indonesia

^*Corresponding author. Email: evaliati.23004@mhs.unesa.ac.id

Corresponding Author

Evaliati Amaniyah

Available Online 13 February 2025.

DOI: 10.2991/978-2-38476-317-7_160 How to use a DOI?
Keywords: financial distress; prediction model; SDGs
Abstract: Research regarding the prediction of financial distress is an important topic in corporate finance because it serves as an early warning signal for creditors, investors, regulators, and other stakeholders. Many studies focus on prediction model with financial and macroeconomic data, but not many combine financial, macroeconomic, corporate governance and intellectual capital data. This study combines these four factors to form a comprehensive financial distress prediction model. This research uses Systematic Literature Review (SLR) with the PRISMA method. The results are expected to contribute to financial management and support the Sustainable Development Goals (SDGs) because corporate financial health supports sustainable economic growth, innovation and infrastructure. Financially stable companies can adopt responsible business practices, manage risks early, avoid bankruptcy, maintain employment, and contribute to economic and social prosperity and support the achievement of SDGs indicators as a whole.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Joint Conference on Arts and Humanities 2024 (IJCAH 2024)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 13 February 2025
ISBN: 978-2-38476-317-7
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-317-7_160 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Evaliati Amaniyah
AU  - Abdul Mongid
AU  - Nadia Asandimitra Haryono
AU  - Hariyati Hariyati
PY  - 2025
DA  - 2025/02/13
TI  - Financial Distress Prediction Model
BT  - Proceedings of the International Joint Conference on Arts and Humanities 2024 (IJCAH 2024)
PB  - Atlantis Press
SP  - 1695
EP  - 1709
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-317-7_160
DO  - 10.2991/978-2-38476-317-7_160
ID  - Amaniyah2025
ER  -

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