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| Name | Logistic Regression: Credit scoring in microfinance and banking: 3 |
| Video Uploader | Video From Stachanov Holding B.V. |
| Upload Date | This Video Uploaded At 19-06-2020 04:43:25 |
| Video Discription | Credit scoring has much to offer to microfinance institutions and smaller banks. It is a simple and powerful tool in reducing operational costs and loan losses. Moreover, it speeds up the loan request evaluation process. Reducing costs and improving customer satisfaction? Who would not be interested? In this series of videos, we will discuss four simple credit scoring techniques: expert approach, Bayesian scoring, logistic regression, and the Altman Z score. Our goal is to demystify the mathematics and logic behind these models. We will explain in plain terms the underlying principles. Using Excel simple models, we show how to use these techniques in practice. Even smaller institutions without sophisticated IT-systems can put in place these scoring techniques. This third video in our series covers logistic regression. In the first part of the video we discuss the linear regression and in the second part the logistic regression. Good luck! André Koch Stachanov Solutions & Services Tags: Credit scoring,Logistic regression,Excel,Stachanov,André Koch, Stachanov Solutions & services,s-curve,credit rating,=slope(),=intercept(),microfinance,excel modelling,risk management,risk model,risk modelling,regression,regression analysis,multilinear regression,forecasting,predictive model,credit risk analysis |
| Category | Education |
| Tags | Credit scoring | Logistic regression | Excel | Stachanov | André Koch | Stachanov Solutions & services | s-curve | credit rating | =slope() | =intercept() | microfinance | excel modelling | risk management | risk model | risk modelling | regression | regression analysis | multilinear regression | forecasting | predictive model |
