Econometrics#2: Econometrics Modeling and Analysis in EViews
What you'll learn
- The course works across multiple software packages such as Eviews, MS Office, PDF writers, and Paint.
- This course aims to provide basic to intermediate skills on implementing Econometrics/Predictive modelling concepts using Eviews software.
- Learn Univariate and Multivariate Modeling
- Learn Autocorrelation Techniques
- Master VAR Modeling
- Learn Stationarity and Unit Root Testing. Also, master CoIntegration Testing
- Master Volatility & ARCH Modeling
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
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.
Who this course is for:
- Students
- Quantitative and Econometrics Modellers, Financial markets professionals
Course content
- Preview11:11
- Preview10:00
- 07:34Understanding and Implementing Correlogram
- 07:32Correlogram Analysis
- 06:27Correlogram Analysis Continues
- 11:35Estimation Output Analysis and Interpretation
- 05:35Interpretation of the ARMA Model
- 09:33Interpretation of the ARMA Model Continues
- 08:03Correlogram Estimation of Output Model
- 10:44Correlogram Estimation of ARMA Model
- 10:48More on ARMA Model
- 12:04Correlogram and Estimation Output for ARMA Model
Instructor
I am a passionate coder and a data scientist. I love teaching. I love sharing knowledge with students and enthusiastic learners. I believe any one can code. If you are passionate about learning, you will learn it. I keep learning from my work and keep teaching students. I love travelling. Its always a great feeling to see your students successful. I have lived those moments. I am obsessed with data and passionate about teaching and sharing those knowledge. Come and join me in this journey.