Análisis e impacto en el otorgamiento de créditos mediante un modelo logístico en la Cooperativa de Ahorro y Crédito “Mushuc Runa” de la cuidad de Riobamba.
This research project, titled analysis and impact on lending by a logistic model in the credit union "Mushuc Runa" of the city of Riobamba, it focuses on the analysis of deterministic variables such as sex, age , income level, marital status, credits with other institutions and the ability...
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| 格式: | bachelorThesis |
| 语言: | spa |
| 出版: |
2016
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| 在线阅读: | http://dspace.unach.edu.ec/handle/51000/2796 |
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添加标签 | 总结: | This research project, titled analysis and impact on lending by a logistic model in the credit union "Mushuc Runa" of the city of Riobamba, it focuses on the analysis of deterministic variables such as sex, age , income level, marital status, credits with other institutions and the ability to pay; Taking into account the impact of these variables when granting credits. Charts, analysis and discussion of results literature, quantitative and qualitative information is displayed through tables. The content of this research is divided into four chapters as follows. Chapter I, guiding framework, consists of: the problem statement, formulation of the problem, (general and specific) objectives, rationale and importance for the research project. Situational analysis of Riobamba and their economic and social situation. Chapter II, Theoretical Framework, is structured into three units in the unit I the Ecuadorian Financial System, Philosophical Foundations, Legal, studies of lending, management, policy and credit characteristics, Cooperativa "Mushuc Rune", mission, vision , current situation, values, principles, operations, classification of the Cooperative. In Unit II Statistical models, definition, confounding factors, qualitative variables, qualitative choice models, probit, logit, application of logistic regression model. In unit III consists the mortgage unit. Chapter III, Methodological Framework, which states the research methodology by which the variables as discussed lending, all this by the Logistical model. sex, age, income level, marital status, loans with other institutions, payment capacity and the impact upon. Chapter IV, the conclusions that are set to arrive once the current investigation and the respective recommendations. |
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