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A default prediction model for Italian SMEs : the relevance of the capital structure
Modina, M.; Pitrovito, F. - In: Applied financial economics 24 (2014) 22/24, pp. 1537-1554
Persistent link: https://www.econbiz.de/10010460972
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Financial and non-financial variables in predicting failure of small business reorganisation
Laitinen, Erkki K. - In: International journal of accounting and finance 4 (2013) 1, pp. 1-34
Persistent link: https://www.econbiz.de/10009752647
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Credit scoring and default risk prediction : a comparative study between discriminant analysis & logistic regression
Khemais, Zaghdoudi; Nesrine, Djebali; Mohamed, Mezni - In: International journal of economics and finance 8 (2016) 4, pp. 39-53
Persistent link: https://www.econbiz.de/10011456360
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Bankruptcy prediction : the case of Belgian SMEs
Cultrera, Loredana; Brédart, Xavier - In: Review of accounting & finance 15 (2016) 1, pp. 101-119
Persistent link: https://www.econbiz.de/10011459741
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Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model
Calabrese, Raffaella; Marra, Giampiero; Osmetti, Silvia … - In: Journal of the Operational Research Society : OR 67 (2016) 4, pp. 604-615
Persistent link: https://www.econbiz.de/10011516598
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An optimal model of financial distress prediction : a comparative study between neural networks and logistic regression
Zizi, Youssef; Jamali-Alaoui, Amine; El Goumi, Badreddine; … - In: Risks : open access journal 9 (2021) 11, pp. 1-24
In the face of rising defaults and limited studies on the prediction of financial distress in Morocco, this article aims to determine the most relevant predictors of financial distress and identify its optimal prediction models in a normal Moroccan economic context over two years. To achieve...
Persistent link: https://www.econbiz.de/10012704037
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Determinants and predictors of SMEs' financial failure: a logistic regression approach
Zizi, Youssef; Oudgou, Mohamed; El Moudden, Abdeslam - In: Risks : open access journal 8 (2020) 4/107, pp. 1-21
This paper aims to identify the determinants and predictors of Small and Medium-sized Enterprises (SMEs)' financial failure. Within this framework, we have opted for a quantitative method based on a sample of healthy and failing SMEs of a Moroccan bank. The main results of the different optimal...
Persistent link: https://www.econbiz.de/10012384411
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Predicting Default for Japanese SMEs with Robust Logistic Regression
Miyamoto, Michiko - 2016
well as government-affiliated and private financial institutions involving SME business in 2010, this study investigates …
Persistent link: https://www.econbiz.de/10012983326
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Revisiting SME default predictors : the Omega Score
Altman, Edward I.; Balzano, Marco; Giannozzi, Alessandro; … - 2022
SME default prediction is a long-standing issue in the finance and management literature. Proper estimates of the SME …- and employee-related variables into SME prediction models can improve their predictive power. To test our hypotheses, we … use a unique sample of SMEs and propose a novel and more accurate predictor of SME default, the Omega Score, developed by …
Persistent link: https://www.econbiz.de/10013472256
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Bankruptcy prediction for micro and small enterprises using financial, non-financial, business sector and macroeconomic variables : the case of the Lithuanian construction sector
Kanapickienė, Rasa; Kanapickas, Tomas; Nečiūnas, Audrius - In: Risks : open access journal 11 (2023) 5, pp. 1-33
Credit-risk models that are designed for general application across sectors may not be suitable for the construction industry, which has unique characteristics and financial risks that require specialised modelling approaches. Moreover, advanced bankruptcy-prediction models are often used to...
Persistent link: https://www.econbiz.de/10014334422