EViews Series (Module #4) - Regression Modeling - All Levels - 4 Sessions
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As mentioned in course objective, Eviews Econometrics modelling course aims to provide quantitative/econometrics modelling skills typically/specifically in Finance sector. Quantitative methods and predictive modelling concepts could be extensively used in understanding the financial markets movements, and studying tests and effects. The course picks theoretical and practical datasets for econometrics/quantitative/predictive analysis. Implementations are done using Eviews software. Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training. The course also emphasizes on the regression models, and AIMS to also cover Auto-Correlation, Co-Integration and ARCH (Auto Regressive Conditional Heteroscedasticity) models ? Essential skillsets Prior knowledge of Quantitative methods and MS Office, Paint ? Desired skillsets Understanding of Data Analysis and VBA toolpack in MS Excel will be useful The course works across multiple software packages such as Eviews, MS Office, PDF writers, and Paint. Furthermore, the course is distributed across 4 sub-courses details of which are bulleted below, with brief description Regression modelling Regression modelling forms the core of Predictive modelling course. The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model. The course covers linear and multiple regression modelling
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