Predicting the future of the corporate market: a proposed dual fraud-bankruptcy score based on evidence from Romanian companies

Our study aims to assess its predictive accuracy in relation to bankruptcy risk models and propose a new composite dual model that addresses both fraud and bankruptcy risks. This new proposed dual fraud-bankruptcy score incorporates literature-based indicators and is tested on Romanian entities to fit the local context. Our study analyzes the combined effects of models for detecting fraud and bankruptcy on financial indicators, unlike previous research that examined these models separately. This proposed model aims to differentiate between manipulative and non-manipulative companies while assessing bankruptcy risks. By combining the Beneish score with traditional bankruptcy models, we develop a comprehensive framework for assessing financial anomalies and enhancing the understanding of the relationship between fraud and bankruptcy risks, focusing on the Romanian listed companies.

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Publication Details

Journal
Journal of Applied Economics
Published
2025-04-01
DOI
https://doi.org/10.1080/15140326.2025.2482543
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting the future of the corporate market: a proposed dual fraud-bankruptcy score based on evidence from Romanian companies

Diana Sabina Ighian, Monica Violeta Achim, Cristina Boţa‐Avram, Ioana Lavinia Safta
Journal of Applied Economics
Financial Distress and Bankruptcy Prediction
article

Predicting the future of the corporate market: a proposed dual fraud-bankruptcy score based on evidence from Romanian companies

Diana Sabina Ighian, Monica Violeta Achim, Cristina Boţa‐Avram, Ioana Lavinia Safta
article en

Abstract

Our study aims to assess its predictive accuracy in relation to bankruptcy risk models and propose a new composite dual model that addresses both fraud and bankruptcy risks. This new proposed dual fraud-bankruptcy score incorporates literature-based indicators and is tested on Romanian entities to fit the local context. Our study analyzes the combined effects of models for detecting fraud and bankruptcy on financial indicators, unlike previous research that examined these models separately. This proposed model aims to differentiate between manipulative and non-manipulative companies while assessing bankruptcy risks. By combining the Beneish score with traditional bankruptcy models, we develop a comprehensive framework for assessing financial anomalies and enhancing the understanding of the relationship between fraud and bankruptcy risks, focusing on the Romanian listed companies.

Journal of Applied EconomicsVol. 28(1)
Technical University of Cluj-Napoca (RO), Babeș-Bolyai University (RO)
Peace, Justice and strong institutions
Openalex Percentile: Top 91%
Financial Distress and Bankruptcy Prediction
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