Econometrics#2: Econometrics Modeling and Analysis in EViews

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Description

Please note that, We have divided the "Econometrics" course in to TWO parts as follows: Econometrics#1:  Regression Modeling, Statistics with EViews Econometrics#2: Econometrics Modeling and Analysis in EViews This is the Second part and will cover Multivariate Modeling, Autocorrelation Techniques, VAR Modeling, Stationarity and Unit Root Testing, CoIntegration Testing and Volatility & ARCH Modeling. This course aims to provide basic to intermediate skills on implementing Econometrics/Predictive modelling concepts using Eviews software. Whilst its important to develop understanding of econometrics/quantitative modelling concepts, its equally important to be able to implement it using suitable software packages. This course fills the gap between understanding the concepts and implementing them practically. The course works across multiple software packages such as Eviews, MS Office, PDF writers, and Paint. Econometric modeling course aims to provide quantitative/econometric 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.

Requrirements

Requirements Prior knowledge of Quantitative Methods AND Econometric techniques, MS Office and Paint is desired. Understanding of Data Analysis and VBA toolpack in MS Excel will be useful A Computer with Internet

Course Includes