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Forecasting Financial Failure of Firms via Genetic Algorithms
Acosta-González, Eduardo; Fernández-Rodríguez, Fernando - In: Computational Economics 43 (2014) 2, pp. 133-157
Schwarz information criterion. As an empirical illustration, the methodology is applied to forecasting the failure of firms in …
Persistent link: https://www.econbiz.de/10010989256
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Exploring corporate bankruptcy in Belgian private firms
Cultrera, Loredana; Jonathan, Bauweraerts - In: International journal of economics and finance 9 (2017) 3, pp. 108-114
Persistent link: https://www.econbiz.de/10011642246
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Development of a Method to Assess the Relevant Variables and the Probability of Financial Distress
Crapp, Harvey R.; Stevenson, Maxwell - In: Australian Journal of Management 12 (1987) 2, pp. 221-236
for failure models. In addition, our method provides estimates of the failure probabilities of organisations at a point in …
Persistent link: https://www.econbiz.de/10010769396
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Investigation of financial distress with a dynamic logit based on the linkage between liquidity and profitability status of listed firms
Christopoulos, Apostolos G.; Dokas, Ioannis G.; … - In: Journal of the Operational Research Society 70 (2019) 10, pp. 1817-1829
Persistent link: https://www.econbiz.de/10012214786
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Understanding distress and default in Jordanian companies using multiple discriminant analysis
Elhaj, Malik R. - In: Global business & economics review 25 (2021) 1, pp. 40-50
Persistent link: https://www.econbiz.de/10012594576
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Mixed logistic model with two independent random coefficients for financial crisis prediction : Argentinean companies
Caro, Norma Patricia; Diaz, Margarita; Garcia, Fernando; … - In: International journal of accounting and finance 10 (2020) 1, pp. 40-63
Persistent link: https://www.econbiz.de/10012504718
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The financial distress of public sector entities. Evidence from Italian public universities
Bisogno, Marco; Citro, Francesca; Tommasetti, Aurelio - In: International Journal of Accounting, Auditing and … 10 (2014) 2, pp. 203-227
The paper investigates the financial condition of Italian universities, focusing on cash- and budget-level solvency as well as service-level solvency. Our model includes structural factors (which refer to both size and quality in structures), organisational factors (which refer to the...
Persistent link: https://www.econbiz.de/10010756281
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Application of artificial neural networks in predicting financial distress in the JSE financial services and manufacturing companies
Dube, Fikile; Nzimande, Ntokozo Patrick; Muzindutsi, … - In: Journal of sustainable finance & investment 13 (2023) 1, pp. 723-743
Persistent link: https://www.econbiz.de/10013545702
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Accounting comparability and financial distress
Islam, Mohammad Nazrul; Li, Shihong; Wheatley, Clark M. - In: Review of accounting & finance 22 (2023) 3, pp. 353-373
Persistent link: https://www.econbiz.de/10014302218
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The Timescale Effects of Corporate Governance Measure on Predicting Financial Distress
Chen, Hsin-Hung - In: Review of Pacific Basin Financial Markets and Policies … 11 (2008) 01, pp. 35-46
This study aims to investigate the timescale effects of the corporate governance measure on predicting financial distress of corporations. A new corporate governance measure is adopted in the logistic regression model. Historical data of the companies listed on the Taiwan Stock Exchange...
Persistent link: https://www.econbiz.de/10005047226