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Soil texture prediction via reduced K-means principal component multinomial regression

Lucadamo, Antonio; Amenta, Pietro; Leone, Natalia - In: Socio-economic planning sciences : the international … 75 (2021), pp. 1-7

Persistent link: https://www.econbiz.de/10012533663

Threshold mixed data sampling logit model with an application to forecasting US bank failures

Yang, Lixiong; Ren, Mingjian; Bai, Jianming - In: Empirical economics : a quarterly journal of the … 68 (2025) 1, pp. 433-477

Persistent link: https://www.econbiz.de/10015193798

Bankruptcy prediction with the use of data envelopment analysis : an empirical study of Slovak businesses

Štefko, Róbert; Horváthová, Jarmila; Mokrišová, … - In: Journal of risk and financial management : JRFM 13 (2020) 9/212, pp. 1-15

compared with the Logit model to determine the reliability of the DEA method. Also, an optimal cut-off point for the ADD model … and Logit model was determined. The main conclusion is that the DEA method is a suitable alternative for predicting the … failure of the analysed sample of businesses. In contrast to the Logit model, its results are independent of any assumptions …

Persistent link: https://www.econbiz.de/10012384409

Early warning system of government debt crises

Dreger, Christian; Kholodilin, Konstantin - 2018

The European debt crisis has revealed serious deficiencies and risks on a proper functioning of the monetary union. Against this backdrop, early warning systems are of crucial importance. In this study that focuses on euro area member states, the robustness of early warning systems to predict...

Persistent link: https://www.econbiz.de/10011803028

Bankruptcy prediction using logit and genetic algorithm models : a comparative analysis

Bateni, Leila; Asghari, Farshid - In: Computational economics 55 (2020) 1, pp. 335-348

Persistent link: https://www.econbiz.de/10012222603

Consumer bankruptcy prediction using balanced and imbalanced data

Brygała, Magdalena - In: Risks : open access journal 10 (2022) 2, pp. 1-13

This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an … Consumer Finances (SCF) which was conducted in the United States. The results show that the predictive performance of the logit …

Persistent link: https://www.econbiz.de/10012805903

Random effects probit and logit : understanding predictions and marginal effects

Bland, James R.; Cook, Amanda C. - In: Applied economics letters 26 (2019) 2, pp. 116-123

Persistent link: https://www.econbiz.de/10012204145

Forecasting S&P 500 index using artificial neural networks and design of experiments

Niaki, Seyed Taghi Akhavan; Hoseinzade, Saeid - In: Journal of industrial engineering international 9 (2013), pp. 1-9

able to forecast the daily direction of S&P 500 significantly better than the traditional logit model. Furthermore …

Persistent link: https://www.econbiz.de/10009759307

Comparing logit, probit and multiple discriminant analysis models in predicting bankruptcy of companies

Khalili Araghi, Maryam; Makvandi, Sara - In: Inventi impact: microfinance & banking (2013) 3, pp. 132-143

Persistent link: https://www.econbiz.de/10010193183

On unbalanced sampling in bankruptcy prediction

Gruszczyński, Marek - In: International Journal of Financial Studies : open … 7 (2019) 2/28, pp. 1-13

correction known for the logit model. This, together with solutions for other binomial models, serves as practical advice for …

Persistent link: https://www.econbiz.de/10012038732