| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Analyzing FSA Direct Loan Borrower Payback Histories: Predictors of Financial Improvement and Loan Servicing Actions
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| Autores: |
Landerito, Aiko O.
Dixon, Bruce L.
Ahrendsen, Bruce L.
Hamm, Sandra J.
Danforth, Diana M.
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| Data: |
2009-04-30
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| Ano: |
2009
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| Palavras-chave: |
FSA direct loans
Financial improvement
Loan servicing actions
Agricultural Finance
Farm Management
Q14
Q12
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| Resumo: |
Classical and count data regression models are estimated to predict improvement in three key financial indicators—net worth, debt-to-asset ratio and current ratio—as well as the number of loan restructurings and delinquencies. Data consist of Farm Service Agency direct loans originated in fiscal years 1994-1996. Models to predict outcomes vary by loan type. Models explaining variation in the financial measures have modest explanatory power but initial levels of debt-to-asset ratio and current ratio are significant in explaining changes in debt-to-asset ratios and current ratios, respectively. Models explaining number of restructurings and delinquencies for operating loans have satisfactory explanatory power. Increasing crop revenues to total farm revenues and increasing farm size lead to increased loan servicing actions
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
http://purl.umn.edu/49340
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| Relação: |
Agricultural and Applied Economics Association>2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin
Selected Paper
613123
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| Formato: |
28
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