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	Provedor de dados AgEcon (2) Autor Durguner, Seda (1) Katchova, Ani L. (1) LaDue, Eddy L. (1) Novak, Michael P. (1) Palavra-chave Agricultural Finance (2) Credit scoring (2) Creditworthiness (1) Cut-off point (1) FBFM (1) Farm type (1) Finance (1) Misclassification (1) Recursive partitioning algorithm (1) Mais... Tipo do documento Conference Paper or Presentation (1) Journal Article (1) Ano 2007 (1) 1999 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última APPLICATION OF RECURSIVE PARTITIONING TO AGRICULTURAL CREDIT SCORING AgEcon Novak, Michael P.; LaDue, Eddy L.. Recursive Partitioning Algorithm (RPA) is introduced as a technique for credit scoring analysis, which allows direct incorporation of misclassification costs. This study corroborates nonagricultural credit studies, which indicate that RPA outperforms logistic regression based on within-sample observations. However, validation based on more appropriate out-of-sample observations indicates that logistic regression is superior under some conditions. Incorporation of misclassification costs can influence the creditworthiness decision. Tipo: Journal Article Palavras-chave: Finance; Credit scoring; Misclassification; Recursive partitioning algorithm; Agricultural Finance. Ano: 1999 URL: http://purl.umn.edu/15129 Credit Scoring Models in Illinois by Farm Type: Hog, Dairy, Beef and Grain AgEcon Durguner, Seda; Katchova, Ani L.. Employing a logit model and farm-level data for Illinois from 1995 to 2004, this study explores the importance of farm-type differences in the development of credit scoring models. Apart from the conclusion that regional credit scoring models specific to each farm type are needed, the following are identified as the most pertinent factors for explaining creditworthiness: previous year’s working capital to gross farm return, the debt-to-asset ratio, and return on farm assets. Furthermore, beef farms have a larger marginal effect compared to grain farms on the probability of the farmer being highly creditworthy. Hog farms differ from grain farms in how the following financial characteristics affect farmer creditworthiness: solvency, profitability, and... Tipo: Conference Paper or Presentation Palavras-chave: Creditworthiness; Credit scoring; Cut-off point; Farm type; FBFM; Agricultural Finance. Ano: 2007 URL: http://purl.umn.edu/9356 Registros recuperados: 2 Primeira ... 1 ... Última

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