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| Registros recuperados: 46 | |
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| Deng, Xiaohui; Escalante, Cesar L.; Barry, Peter J.; Yu, Yingzhuo. |
| This paper introduces two continuous time models, i.e. time homogenous and non-homogenous Markov chain models, for analyzing farm credit migration as alternatives to the traditional discrete time model cohort method. Results illustrate that the two continuous time models provide more detailed, accurate and reliable estimates of farm credit migration rates than the discrete time model. Metric comparisons among the three transition matrices show that the imposition of the potentially unrealistic assumption of time homogeneity still produces more accurate estimates of farm credit migration rates, although the equally reliable figures under the non-homogenous time model seem more plausible given the greater relevance and applicability of the latter model to... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agricultural Finance. |
| Ano: 2004 |
URL: http://purl.umn.edu/20062 |
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| Yu, Yingzhuo; Escalante, Cesar L.; Deng, Xiaohui. |
| This study applied more flexible cost functional form, Fourier Flexible Functional Form, and tested the validity of the Translog cost functional form as to estimate the cost function incorporating risk and loan's quality for banking industry. Meanwhile, the study extended four different cost efficiency measures for banking industry not only among different sized banks but also between commercial banks and agricultural banks. And thereafter, by evaluating these efficiency measures, banks will identify sources of inefficiency, which should aid banks in developing approaches to improve their operational policies, procedures, and performance. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agricultural Finance. |
| Ano: 2007 |
URL: http://purl.umn.edu/34939 |
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| Nelson, Carl H.; Escalante, Cesar L.. |
| An alternative unconstrained expected-utility maximization model of farm debt is developed using the location-scale parameter condition that incorporates the empirically validated hypotheses of decreasing absolute and constant relative risk aversion. Simulation-optimization results based on the old and new model versions provide interesting implications for various levels of risk aversion and initial equity investments. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk and Uncertainty. |
| Ano: 2004 |
URL: http://purl.umn.edu/34756 |
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| Escalante, Cesar L.; Rejesus, Roderick M.. |
| Simulation-optimization techniques are employed to analyze changes in farmland control arrangements as a result of using different constructs of intertemporal risk behavior. Risk behavior based on constant absolute risk aversion (CARA) and constant relative risk aversion (CRRA) mean-standard deviation functions are used to achieve this objective. Specfically, a multi-period programming framework for a representative grain farm is developed to explore farmland control decisions under these two behavioral assumptions. Our results suggest that the use of a CRRA behavioral construct in analyzing farmland control decisions produce predictions that are more consistent with observed farm behavior. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Farm Management. |
| Ano: 2005 |
URL: http://purl.umn.edu/19113 |
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| Escalante, Cesar L.; Barry, Peter J.. |
| This study provides farm-level empirical support to the Risk-Balancing Hypothesis using Illinois grain farm data. The econometric results indicate that risk-balancing farmers comprise more than half of the sample. These farmers tend to be older, have higher leasing ratios, are less financially efficient and manage risk through crop specialization, enterprise diversification, and marketing strategies in addition to risk balancing. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk and Uncertainty. |
| Ano: 2001 |
URL: http://purl.umn.edu/20617 |
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| Registros recuperados: 46 | |
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