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Predicting the financial distress of Indonesian manufacturing companies : an application of the multinomial logit model
Suteja, Jaja; Gunardi, Ardi; Octavia, R. Avianty - In: International journal of monetary economics and finance 10 (2017) 3/4, pp. 250-256
Persistent link: https://www.econbiz.de/10011863205
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Challenges in predicting financial distress in emerging economies : the case of Croatia
Žiković, Ivana Tomas - In: Eastern European economics 56 (2018) 1, pp. 1-27
Persistent link: https://www.econbiz.de/10012009300
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Do traditional financial distress prediction models predict the early warning signs of financial distress?
Ashraf, Sumaira; Félix, Elisabete Gomes Santana; … - In: Journal of risk and financial management : JRFM 12 (2019) 2/55, pp. 1-17
: The results indicate that the three-variable probit model has the highest overall prediction accuracy for our sample …, while the Z-score model more accurately predicts insolvency for both types of firms, i.e., those that are at an early stage …
Persistent link: https://www.econbiz.de/10012022224
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Financial crises, bank efficiency and survival : theory, literature and emerging market evidence
Isik, Ihsan; Uygur, Ozge - In: International review of economics & finance : IREF 76 (2021), pp. 952-987
Persistent link: https://www.econbiz.de/10013176773
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Corporate failure prediction : Malaysia's emerging market
Bee, Thai Siew; Abdollahi, Mehdi - In: The international journal of finance 25 (2013) 4, pp. 7985-8011
Persistent link: https://www.econbiz.de/10010382959
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On the prediction of financial distress in developed and emerging markets : Does the choice of accounting and market information matter? A comparison of UK and Indian Firms
Charalambakis, Evangelos C.; Garrett, Ian - In: Review of quantitative finance and accounting 47 (2016) 1, pp. 1-28
Persistent link: https://www.econbiz.de/10011595544
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Predicting financial distress : importance of accounting and firm-specific market variables for Pakistan' s listed firms
Waqas, Hamid; Rohani, Md-Rus - In: Cogent economics & finance 6 (2018) 1, pp. 1-16
stretching from 2007 to 2016 and logit regression is applied to predict financial distress. The findings reveal that … financial distress. Results of the estimated logit model I, model II, and holdout model reveal that the models perform …
Persistent link: https://www.econbiz.de/10012023254
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Explaining financial crises in emerging markets : a logit model on the Turkish data (1984-2001)
Feridun, Mete - In: The Lahore journal of economics 10 (2005) 1, pp. 33-47
Persistent link: https://www.econbiz.de/10003368414
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Logit model for predicting financial distress in Indian corporate sector
Gurmeet Singh; Singla, Ravi - In: International journal of business and globalisation : IJBG 37 (2024) 4, pp. 516-534
Persistent link: https://www.econbiz.de/10015063982
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Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies
Singh, Bhanu Pratap; Mishra, Alok Kumar - In: Financial innovation : FIN 2 (2016) 6, pp. 1-28
Discriminant Analysis (MDA) and Probit techniques are employed in the estimation of Z-Score and X-Score models, whereas Logit …
Persistent link: https://www.econbiz.de/10011542461